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devpost-hackathon-projects

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https://devpost.com/software/minimalist-fiction

Inspiration Web games made with Adobe Flash that can be found on sites such as Kongregate and Armor Games. What is it A short story-based platformer game. What's next for Minimalist Fiction A sequel story. Built With gamermaker

Minimalist Fiction

Follow the cautionary tale of a coloured squares in this relaxing game. Gameplay is designed for any skill level and story is for anyone and everyone!

['\u200e \u200e']

[]

['gamermaker']

https://devpost.com/software/alarme-an-alarm-clock-you-can-t-say-no-to

the mess of a clock ill put on my bedside table Inspiration Over the course of the quarantine my sleep schedule has got worse and worse. Sleep in till noon? Why not its not like I have somewhere to be. However, after setting alarms to try and wake up earlier, I simply could not get myself to wake up. If i can snooze my alarm, I can snooze all I want. I knew it was time for something that I had a liiiiiittle less control over. What it does This is an alarm clock that can be set from your phone, but with no option to turn it off within arms reach, you'll have to go elsewhere. This means getting up out of your bed to a designated terminal you set up SOMEWHERE else in your house. Walk there, tap your phone to it, and BOOM the alarm turns off. Not only are you out of bed now, but you're happy you have the whole day ahead of you too! How I built it I used Google's Flutter SDK to develop an easy and modern looking mobile app for both iOS and Android. This app is what allows you to set the time you want the alarm to go off, and the tool you'll use to turn it off in the mornings. By tapping an NFC tag, the app will send data to the alarm clock to tell it to turn off. The alarm clock consists of an arduino MKR1000; a small wifi-enabled arduino. This was perfect to implement a small speaker module from an old printer, and a dc motor i put off balance to act as an annoying vibrator. Running a small server from this arduino on my wifi network. I can receive data from the Flutter app so long as the arduino has power! Challenges I ran into Getting the arduino board to connect to my computer - my libraries got corrupted and took me hours to fix. Timing on the vibration and buzzing of the alarm - arduino can only do one task at a time so I had to figure out a better way than using delay() Accomplishments that I'm proud of Connectivity between my phone and an arduino wirelessly anywhere in my house was really cool. What I learned Much more planning should go into how the software works on the app-side than i did, I did none and spent so much time figuring it out. I learned a ton about arduino, soldering, mortors, small electronic components, and time management with it all. What's next for AlarMe - An alarm clock you can't say no to! Next is a segmented display for me to see the time at night, a more fluid app that I could actually see myself using, and reliability. WIth more time i feel this is going to be something I use to get up in the morning. I also want to encase this so it isn't a jumble of wires Built With arduino buzzer dart flutter nfc Try it out github.com

AlarMe

An alarm clock system that makes sure you get out of bed!

['Parker Rowe']

[]

['arduino', 'buzzer', 'dart', 'flutter', 'nfc']

https://devpost.com/software/hacktogether-i1ay4x

Sign Up/Log In screen Message Capabilities Home Page User Profile Inspiration Many beginner coders want to hack and learn how to build products, but unfortunately, don't have the resources needed. Hackathons are difficult to come across if you don't know where to look. They have fees or are geared for more experienced individuals. Teams are difficult if you're not already in a friend group of coders. Many hackathons have team-building sessions at the beginning, but that can be nerve-wracking to newbies. We even have unclaimed ideas that teams can take and build their own version. Hack Together is a platform that does it all at once: find a hackathon, join a team, and create a product. What it does Create an account on Hack Together and immediately find different hackathons near you. Not sure what hackathon you want to join, there's also teams looking for more members. Just want to create on your own, we have ideas that people were willing to share with the group. How we built it We used Figma XD to explore UI/UX design in a collaborative way. We registered hacktogether.online with Domain.com for future use. Challenges we ran into Both of us are new to design so we looked up different examples to put together our prototype. Accomplishments that we're proud of We started the hackathon a few hours late so we were happy to find an idea that worked for us. What we learned We hadn't use Figma too in depth before. We learned how to use wire framing software to work efficiently. What's next for HackTogether We'd like to go into development next and make this functional. Built With figma Try it out www.figma.com

hacktogether.online

Want to hack, but don't have a team, idea, or even a hackathon? Use Hack Together to find it all!

['Omar Awad', 'Mara Hart']

[]

['figma']

https://devpost.com/software/companion-prog

Transcript of Demo Video Companion Prog Inspiration I always forget basic syntax and need to keep searching it online or wherever. So, I made this app for forgetful people like me. Or, for anyone who wants to learn Python, especially while stuck-at-home What it does Displays the syntax of certain categories of any Python syntax (that's available). Then, it runs the program in the terminal How I built it Using the tkinter Python library, I created an interactive GUI. In each category, I also coded the program to run in Terminal. Challenges I ran into I could not figure out how to attach the Terminal to the GUI. Also, I got stuck on how to display the text when a user selects from the Menu Accomplishments that I'm proud of This is my first solo program that I had to learn an entirely new library for. That, and my first solo program that wasn't assigned by a teacher. What I learned I learned how to use the tkinter library and how annoying styling is What's next for Companion Prog I want to add more python libraries. But first, I need to finish the basic Python commands. Then, I will expand it to include other languages like C++ or Java. Built With python Try it out github.com

Companion Prog

A companion program for programmers who want to learn Python or always forget syntax

[]

[]

['python']

https://devpost.com/software/metallictime-ibe9yu

Inspiration: To learn something new What it does: Changes crown to silver and gold based on blink of an eye How we built it: Using Spark AR studio Challenges we ran into: Changes to eyeball color and setting position, texture Accomplishments that we're proud of: Adding a crown What we learned: How to create a filter What's next for MetallicTime: Add different background objects and ornaments in the neck, filters for the eye and lot of interesting ideas Built With api arstudio particle Try it out github.com

MetallicTime

Crown filter changes to gold and silver on blink

['BhanuTharun Tondapu', 'Sravani Koppala', 'Tharun kumar Doppalapudi', 'Githika Tondapu']

[]

['api', 'arstudio', 'particle']

https://devpost.com/software/relaxside-za2uwh

My desire to learn new technologies inspired me to participate in Hackathon. This application enables users to select their favorite categories from the given list. From the given selection, the fortune wheel randomly picks a few tasks and displays them on the wheel. Once the user spins the wheel, the user has to do the task that the arrow points to. This is a single page web application that is done in HTML, CSS, Bootstrap, Javascript divided into two parts. The first part is the home page and get-started page where you pick your categories and the next part is the spinning wheel. The fortune wheel is created using HTML and Javascript. We came across a few errors that were solvable, which cannot be seen as challenges. Completing the work within the constrained time is the accomplishment that we can put on. We can have a profile for each user, maintain a database that tracks user choices and tasks they do. Also, We can put up some stats based on the activities and interests. Built With bootstrap css html javascript visual-studio

RelaxSide

A stress buster amids this lockdown.

['Sravani Koppala', 'BhanuTharun Tondapu', 'Githika Tondapu', 'Githika Tondapu', 'Tharun kumar Doppalapudi']

[]

['bootstrap', 'css', 'html', 'javascript', 'visual-studio']

https://devpost.com/software/jarvis-fmlk01

Inspiration The inspiration for this project came from the movie Iron Man where AI can talk to humans in a much larger bandwidth and much more smoothly that it's hard to distinguish a bot and human. What it does It is a chatbot which talks with the user. It is built with Google Dialogflow and it can tell you jokes, recite poems, and more! While it's still basic it is learning constantly and different features are being added and tested. How I built it It was built with Google Dialogflow and it was trained with different user inputs and outputs. Now it can do small conversations. Challenges I ran into I ran into challenges such as using it with raspberry pi. I wanted to embed it with the raspberry pi and I have learned a lot from this about the board and its limitations/ Accomplishments that I'm proud of I'm proud to be knowing Rasberry pi and python. i learned the whole python language and first time doing a rasberry pi project. What I learned I learned a lot of python programming language, and how to use the Rasberry pi(It was my first time). What's next for Jarvis Next I'll try to make it smarter and embed other platforms such as teachable machines and other powerful board. I'm trying to make an AI assistant which interacts with you smoothly and instead of only mics and speakers, attach cameras too so that it can see what you're seeing and can learn stuff visually and perform more complex tasks such as scientfic calculation in laboratories. Built With google-cloud Try it out bot.dialogflow.com

Jarvis

Jarvis an AI speech program made using Google cloud platform.

['Aditya Krishnan Mohan']

[]

['google-cloud']

https://devpost.com/software/coronavirus-update-twitter-bot

twitter feed with COVID-19 update Inspiration We wanted to provide an easy and fast way to be informed about the current state of the pandemic in the United States. What it does We've created a Twitter account that automatically posts COVID-19 stats in the US daily. Each day it tweets out the total cases and deaths due to the virus, as well as the daily cases and deaths. The numbers are from the official CDC website. The twitter account is @Coronav53389711 . How we built it All the automation is done using UiPath's StudioX. 1. goes to CDC website to extract data(total cases, total deaths, daily cases, daily deaths) 2. creates CSV file 3. opens notepad++ and runs macro to change formatting of the gotten data, then copies it to clipboard 4. opens twitter and pastes the data into text box, then sends the tweet Challenges we ran into Originally we wanted to create a website and an Alexa Skill, but there were too many roadblocks to complete it in time. Plus, if someone was willing to visit a website, they might as well visit the CDC site. So the idea was to have the information simple and easily accessible through Twitter. Accomplishments that we're proud of Having an end product to show. What we learned Learned how to use UiPath's StudioX, as well as some Alexa Skill knowledge from the research at the beginning. Built With notepad++ uipath

Coronavirus Update Twitter Bot

An automated twitter account giving daily updates of coronavirus in the US.

['PoppyMacaroon25', 'Josie H', 'joelgharding']

[]

['notepad++', 'uipath']

https://devpost.com/software/audiobox

Interface Inspiration I was inspired by many of the digital synthesizers I used to produce music. What it does The AudioBox plays a tone, users can adjust the volume and change the frequency How I built it I built this application using the JUCE framework and C++ Challenges I ran into Following the documentation, I had trouble with many of the modules offered by JUCE. I wanted to make a complete syntheziser with keys, however, some of the guides in the documentation were misleading. Accomplishments that I'm proud of I'm proud that I got a chance to start learning this framework. At the very least, I have an application that produces sound. What I learned I learned that I should have pushed my code upon having a working product. What's next for AudioBox I'm hoping that I can implement a full keyboard with MIDI inputs! Built With c++ juce Try it out github.com

AudioBox

A desktop application where users can play a tone.

['BojanowskiCalvin Bojanowski']

[]

['c++', 'juce']

https://devpost.com/software/borgr

The main page, click the burger to find your nearest burger restaurant! An example of the kind of Google Maps page it'll redirect you to. My UiPath StudioX Setup for Outlook email automation An example of an automatically generated UiPath email IT'S LIVE! Try it for yourself! borgr.space (if your browser complains about that URL go here instead!) Domain.com Best Domain Submission: borgr.space Inspiration Close your eyes and imagine you're on a road trip with your best buddies. Someone's stomach grumbles, you need to find somewhere to eat. It's been a long day and you don't want to argue but how will you pick where to go? That's the problem I'm trying to solve. Introducing borgr , my new project that sends you to the nearest burger restaurant with one click. What it does Using borgr is simple: go to borgr.space and hit the button and it'll redirect you to a google maps page for the what radar.io thinks is the nearest burger restaurant to your location. This works by using a pair of Radar.io's APIs. First it uses the IP Geocoding API to get your coordinates from your IP address, then uses the Place Search API to find the nearest burger restaurant to you from those coordinates. Then, it'll do some borgr magic and generate a well formatted google maps search link with it'll then redirect you to, which lets you easily get the directions from. In addition, my UiPath implementation means that whenever someone uses the website, I get an email saying where the borgr button led them to in an effort to create a borgr map in the future to show where in the world people have been wanting burgers and using borgr. How I built it A python3 flask server I deployed on Heroku with gunicorn hosts the site which uses HTML on the frontend. The backend heavily utilizes radar.io's IP Geocoding and Place Search APIs. I also used UiPath's StudioX to send myself the Outlook emails. Challenges I ran into -Learning to use Heroku -Fighting with HTML to make the site legible -My wifi network thinking I was in NJ and giving my devices IPs accordingly. These IPs were nowhere near any burger places :( -Learning to use StudioX Accomplishments that we're proud of -This was the first hackathon I did by myself! What's next for borgr -Get a prettier frontend, I'm a backend guy with little to no graphic design/fancy framework knowledge -Taking data from automated UiPath emails and doing some data visualization on them to create maps of where people are using borgr Built With flask heroku html5 python radar.io uipath Try it out borgrapp.herokuapp.com github.com

borgr

Arguing about where to get food is a thing of the past.

['Drew Ehrlich']

[]

['flask', 'heroku', 'html5', 'python', 'radar.io', 'uipath']

https://devpost.com/software/how-long-is-it

how-long-is-it A web app meant to help people visualize conversions between units If you were raised on imperial units like me, you could probably tell me, roughly, how long of a 60-mile drive is. You have an idea in your head about how heavy 5 pounds is because you interact with these measurements on a daily basis. For many, this breaks down when you think about metric units! How long is a 4 km walk? Short? Supper long? My guess is that you don't know. My app fixes this! On the site, you can see metric units equated to everyday things you would encounter! Check it out: www.bcarpenter.tech In making this, I encountered a few problems. I decided for the first time to experiment with a CSS framework, Bootstrap to be specific! While it simplified a number of things and produced a nicer looking product than I would have made without it, I lacked the familiarity I needed to be able to customize. With more time, I think I could produce a much nicer looking product, however, I am happy with the simple, but fun functionality of my site. In the end, I am super proud that I was able to go from an idea to a site, too many times I've found myself starting things, but not seeing them through. This feels way better! Try it out github.com bcarpenter.tech

how-long-is-it

A website meant to help people visualize conversions between units

['Ben Carpenter']

[]

[]

https://devpost.com/software/covidseek

Inspiration Since the beginning of this pandemic, many people globally are in a state of confusion and panic. Many healthcare systems need a way to allocate resources properly based on the density of the pandemic. Furthermore, many people do not know when this virus will keep spreading. We built COVIDSeek to answer these problems through providing an accurate visualization and predictions/forecasts of the pandemic. What it does COVIDSeek is a web application that connects people and healtchare systems through accurate information, and predictive analytics. Users enter their location to see a density heatmap of the virus on an international scale, which is also useful for medical practitioners and the healthcare system. They also will see the specific number of cases and deaths in their respective area on a given day. Finally, they are provided with a forecast of what cases might rise/lower to in the next 1-2 months. How we built it On the front end, we used html, css, and javascript through the bootstrap web framework. On the backend, we first use the google-maps api in python (through gmaps) to visualize the heatmap, and we passed this into an html file. Furthermore, we used Flask to serve the json data of the cases and deaths (across the world) to our front end, and SQLAlchemy as a way of storing data schema in our database. We use the FBProphet library to statistically forecast time-series data and future cases through Bayesian analysis, logistical growth, and predictive analytics, by factoring in trend shifts as well. Challenges we ran into We ran into challenges regarding the visualization of the heatmap, as well as the creation of our forecasting algorithm, as we didn't have much experience with these areas. Furthermore, serving some parts of the data to the front-end from Flask had some errors at first. It also took time to assemble data into a consolidated file for analysis, which was a bit hard in terms of finding the right content and sources Accomplishments that we're proud of We are proud of how much progress we've made considering how new we were to libraries such as FBProphet and Flask, and the unique, special, and effective way we learned how to implement it. We learned how to create opportunities to benefit different areas across the world through data analytics, which is something that we're very proud of doing. What we learned In terms of skills, Aryan learnt how to develop his front-end skills with Bootstrap and using different ways of styling. Shreyas also developed his front-end skills while working with Aryan to structure the front-end, as well as finding new skills in learning Flask and the Gmaps API. We learnt that there are numerous ways that an individual can help the world around them through computer science. What's next for COVIDSeek In the future, we want to add a user-interactive search bar that places a marker on their location and zooms into the map, as well as a way for users to report symptoms/cases on the map. We also want to add more features, such as nearby testing sites, hospitals, as well as nearby stores with a certain amount of resources that they might need. Overall, we want to make this web app more scalable worldwide. Built With bootstrap css3 fbprophet flask google-maps html5 javascript matplotlib numpy pandas python sqlalchemy Try it out github.com

COVIDSeek

Serving healthcare systems and people through accurate data tracking, visualizations, and forecasting of the coronavirus

['Shreyas Chennamaraja', 'Aryan Agarwal']

[]

['bootstrap', 'css3', 'fbprophet', 'flask', 'google-maps', 'html5', 'javascript', 'matplotlib', 'numpy', 'pandas', 'python', 'sqlalchemy']

https://devpost.com/software/random-chatbot-about-life

Inspiration Due to COVID-19 Pandemic, we are all stuck at home. And we are all really bored (at least I am). So I create this simple chatbot that can chat with you and be the best buddy with you. What it does This is a discord bot that you can ask it a question, it will give you a response, whether it makes sense or not. How I built it I built it using chatterbot and discord.py What I learned I learned about how to build a simple chatbot! What's next for Random Chatbot About Life Make it more random! Built With discord python Try it out discord.gg github.com

Random Chatbot About Life

Whether you are bored or whatever, chat to this nonsense bot!

['boyuan12 Liu']

[]

['discord', 'python']

https://devpost.com/software/spark-ar-filter-which-mlh-duck-are-you

Facebook Spark AR Sticker Challenge Create an Instagram filter using Facebook's Spark AR. Built With sparkar Try it out instagram.com

Spark AR Filter: Which MLH Duck are you?

Which iconic MLH duck are you?

['Samina Khaliq']

[]

['sparkar']

https://devpost.com/software/stay-safe-g1o3td

Inspiration It is about giving more love to each other as it is more about we instead of me. We are here as a together as a team even though we are apart, and together, we can grow. What it does This is a filter for Instagram to tell each other to stay home in a cute way with the hearts and high-pitched voice. However, it does convey a serious message of staying home but also spreading love, not germs. How I built it We built it through Spark AR. This is our first-ever project and hackathon using Spark AR and we thought it would be a fun challenge to do something that is more of our speed. Challenges I ran into We had no idea on how to use SparkAR as well as what to expect in a hackathon. A lot of research was done on SparkAR during the creation of our filter, but we did prevail at the end. Accomplishments that I'm proud of We are especially proud that we have created a filter even though it might not have been the best. We are glad that we worked together as a team and determined on what needed improvement in our current and future projects. What I learned Learning how to use SparkAR is a major accomplishment for all of us. We had to download the application and then learn what each and every one of the functions were. It was a difficult task but with playing around the application for a few hours, we seem to have learned the gist of it. What's next for stay safe! What is next for stay safe is hard to say, however, we do acknowledge that if we stay away from each other while giving each other love, we will be able to fight this altogether no matter how difficult it may be, we are together as a whole. As stated above, it is about we and not me. Built With sparkar

stay safe!

CoVID-19 Instagram filter - Stay Safe Through the Power of Love!

['Maggie Hou', 'Julia Ma']

[]

['sparkar']

https://devpost.com/software/stacy-bot

Interface in FB messenger This representation of NLP Features which will be added more as time goes PLEASE NOTE THIS IS A TEST BOT, AS PUBLISHING AND VALIDATION TAKES TIME, SO IF U WANT TO USE THIS THEN U NEED TO BE THE TESTER. BUT U CAN USE THE PHONE CALL FACILITY. CALL AT: +1 463-221-4880 (This is a toll-free number based in US, if you are out of US then only minimal international charges will be applicable, I am from India and it takes 0.0065$/min) If you want to use this app in your Facebook Messenger like shown in the video then please comment your Facebook ID in this project's comment section, I will add you as a tester to this app IT IS JUST AN WORKING DEMONSTRATION OF MY IDEA TO TACKLE THE PROBLEM, IT CAN BE MADE AS PER THE DEMAND OF ANY ORGANISATION. AND THE BEST THING IT IS NOT A CONCEPTUAL IDEA IT IS TOTALLY A REALISTIC IDEA THAT CAN BE DEPLOYED AT ANY MOMENT ACCORDING TO THE DEMAND OF THE ORGANIZATION Our Goal General Perspective Due to the situation of COVID-19 the work force of the world is decreasing(since everyone is maintaining self quarantine and social distancing ), which is creating a big havoc in the world, through this project of mine, I mainly target to tackle this problem and help the health organizations with a virtual workforce that runs 24*7 without any break, and handles all kind of mater, starting from guiding the people to fill up the forms to managing the data of the patients automatically and all-together. Business Perspective(if required) Bot service (it is not a company yet, I am just referring to the thing that we want to build or start this company, we are student developers right now) which adds a virtual work force to every client organisation to bloom in the market. In business perspective Our potential business targets are small business,NGO and health organisations and we help them to be free from human service cost and help them to grab more users by providing 24*7 interaction with there users, thus generating more revenue for them. Inspiration I really got inspired for making this advance A.I bot by seeing the current COVID-19 situations, because of these COVID-19 situations people are restricted from gathering hence work force and user interaction of various health organisation are diversely effected. Through this project I aimed to connect the health organizations with the patient anywhere in the world,using any platform(not limited by android, ios or Web). And also manage the data of the patients automatically thus reducing human effort and maintaining social distancing. MADE THIS PROJECT TO BRING A CHANGE . How is our product different than others 1) There are many types of A.I bots,where most of them are Decision tree based models that work with particular buttons only,our products will be totally based on NLP based models,which are more advanced and are in higher demands than others. 2) Other service A.I bot service providers are confined to only 1 or 2 platforms, whereas we at the same time are providing advantage to the client to choose from a large scale of platforms like FB messenger, google assistant,slack,line,website bots and even in calls 3) For the health organisations that are willing to buy our technology (We are also willing to donate this tech for free), from business perspective we will also be cheaper than our other competitors, when others are taking near about $3300/year for the service, we are doing it in $100-$1500 one-time fee range with more versatility. It will totally be free for any user using it, no charges will be applicable for users What it does Our bot provides the power to every health organisation at such situations of COVID-19 by managing the screening,testing and quarantine data and also connecting the persons that are willing to do the test with the help of diversified digital platforms. In cases where internet is not working (where other bots won't function) still our bot works inside the phone number thus providing fruitful results in such situations.It basically covers all important aspects of an advanced A.I bot. It also connects the health organisations with volunteers that are willing to donate their time as helping hands in this hour of need. How I built it I built it using Google cloud A.I solutions, Google cloud Dialogflow framework(which includes automatic firebase integration) where I trained the bot with NLP with huge datasets from WHO and government and then integrated it with the Facebook messenger through Facebook Developer account. It is also supporting Phone call facility Challenges I ran into I had to go through many challenges, starting from being a solo developer, I really had to face a lot of problems as making such a complex app which all the advanced features as mentioned, all these things together cost me a lot of sleepless nights but i hope my hard-work pays off Accomplishments that I'm proud of I am really proud of the app that I made because it itself is a big milestone for a solo developer like me. What I learned I learned a lot of things through out this journey of developing this app, starting from advance use of Google cloud A.I solutions, Dialogflow and integrating it to Facebook messenger, making filters inside the chat-bot to enhance user experience etc.Connecting it with a phone number to receive phone calls etc. What's next for Health Bot If my work gets selected, then for sure I am going to work really hard to make Health Bot even bigger and to add more amazing functionalities to make my users happy. Built With dialogflow facebook google-cloud javascript json Try it out github.com

Advanced A.I Health Bot

An A.I bot with: Telephone calling,NLP,24*7 health coverage,total automatic data management,wipes rumors,Easy navigation,HD pictures,Customer service help etc

['Udipta Koushik Das']

['Accessibility: Second Prize', 'Healthcare: Second Prize']

['dialogflow', 'facebook', 'google-cloud', 'javascript', 'json']

https://devpost.com/software/maia-cfrkbs

Inspiration We are two sisters who were first inspired to create this product by our mom, a high school teacher for the last 30 years. Despite her best efforts, she has been struggling to get through to students during the COVID-19 pandemic. Remote learning creates a dull, impersonal environment, and even as our mom is screaming, singing, and dancing in front of her camera, her students are unengaged and unable to learn. Watching our mom struggle allowed us to realize that there is a major problem with existing remote learning products. Our mom is one of the top teachers at her school; she was awarded Teacher of the Year by her school in 2019, she is constantly going to conferences to learn new teaching techniques, and she comes to class motivated and energetic every day. If our mom is unable to inspire students to learn during this time, there are millions of teachers across America facing the same problem. This fact motivated us to build a better solution, so that the 1.5 billion students who have been impacted by COVID-19 may continue to learn through these unprecedented times. What it does Maia is a web application that has reinvented remote learning. Instead of hosting online classes through the traditional layout where participants appear in separate boxes, Maia brings the classroom to life by creating live animated versions of teachers and students. Teachers can write on a virtual whiteboard; add sound effects, stickers, and videos to their lesson; and easily start polls, assignments, and games. Students can click on their character to raise their hand at any time and they can write on the interactive board when they are called on to do so. Traditional video communication methods create a dull, impersonal environment by removing the ability to use hand gestures to engage. Our design completely reinvents this traditional solution by using virtualization to allow people that are thousands of miles apart feel like they are in the same room. This ultimately enhances focus, empathy, and motivation in any human interaction, which is a necessary development in our increasingly cyber-physical world. How we built it The first step we took to build our alpha prototype was to research and write the code for the facial tracking and motion capture tool. This was implemented through computer vision based sensorless motion capture, meaning that users can use an ordinary camera and no sensors are required. After the face is detected, prominent parts of the face are identified using the Histogram of Oriented Gradients (HOG) method to extract features from pixels. After the features are identified on the human face, the corresponding features on the user’s avatar are linked and will move synchronously. Once this tool was working, we choreographed the facial movements of our animated character by pairing the motion capture tool with Adobe Animate. Next, the character’s legs, arms, and torso were animated by meticulously moving each body part throughout each second of the clip. Although choreographing the motion of the character's body parts was a very manually intensive process during the alpha prototype creation, this process will be automated in the final prototype of the software by using natural language processing (NLP) and sentiment analysis to determine the content and tone of the character’s speech. After animating the character, the user interface of the web application was designed. The detailed designs of the main toolbar, the drawing toolbar, and the effects toolbar are described in the Technical Product Implementation document. The last step required to make the user interface was to design the interactive whiteboard tool. We conducted research regarding how to maintain consistency on a drawing tool when multiple people are simultaneously editing, as shown in the Technical Product Implementation document. Finally, we began considering how we would market our product, who we would market it to, how much we would sell it for, and how we could expand to new markets in the future. This analysis is described in detail in the Business Model and Market Potential document attached to this submission. Challenges we ran into The biggest challenge we faced was our tight constraints on time and labor. Since we had a team of only two people and a time limit of only 7 days, we quickly realized that we had to narrow our scope and focus on the most important aspects of our design. Additionally, we ran into several challenges while trying to create the facial tracking and motion capture tool. Although we had some experience writing facial recognition code in the past, capturing motion and translating that motion to an animated figure proved to be difficult. We overcame this challenge by thoroughly researching the technical aspects of the development of various computer vision algorithms. Beyond online resources, we contacted experts in this field to learn how they created such projects. Whereas last week we had nearly no knowledge of motion tracking beyond facial recognition, today we are close to the implementation of facial tracking and motion capture in Maia. Accomplishments that we're proud of Developing a complex, transformative, marketable product in seven days with only two people. Manipulating a working facial tracking and motion capture algorithm. Learning a complex animation software from scratch and effectively implementing it. Validating the market need for our product by receiving 97 survey responses from teachers ranging from kindergarten to college level. This helped us validate that online education has been a major struggle for teachers across states at many grade levels. Additionally, many teachers left suggestions for features they wish their e-learning platform included, which helped guide our product design. What we learned Through the development of Maia, we learned how to implement and combine new technologies, including Adobe Animate, facial tracking and motion capture, and a collaborative object-based graphical editing system. Beyond that, we learned that the quality of education suffers when it is online. Through our own experiences, a survey, and open communication with current teachers and students, we learned that it is necessary to reimagine traditional online learning platforms, and Maia has done just that. What's next for Maia We are confident that Maia has the potential to hugely impact the e-learning market. To grow our business, we will first build out the live broadcasting and collaborative capabilities of our software. We will build a team of about 4 to 6 members to work on optimizing the animations and the UI design. We have already got in contact with a technical director at Walt Disney Animation Studios about our idea and we are in the process of setting up a call to gauge his further interest in the project. Once our product design is finalized, we will file for a utility patent on the process of utilizing live animations in a virtual classroom and we will file for a design patent on the aesthetic of the UI and animations. If we are awarded winnings in this competition, we will use the money to invest in better animation tools and cloud storage. We will then market our product to public, private, and online elementary schools. From here, we hope to expand Maia’s capabilities to help middle schools, high schools, universities, and eventually corporations. We really enjoyed working on Maia this past week, but it is only the beginning. We are eager to venture into the market and watch as Maia transforms the future. Built With adobe-animate python

Maia

Maia - For elementary school students and teachers, we provide an interactive remote learning platform, so they can best engage and collaborate in virtual learning sessions.

['Allyson Clark', 'Samantha Clark']

['1st Place Winner - New Projects Category']

['adobe-animate', 'python']

https://devpost.com/software/sesame-mobile-app-upz9bv

Inspiration After talking to managers at stores in Lenox Mall, one of the largest shopping malls in Southeast, we learned that retail stores face two primary problems: either there are too many customers for the limited store capacity created by social distancing guidelines or stores lack customers altogether. Since the start of the pandemic, retail is facing the largest decline on record with a CNN estimating a 8.7% decrease in sales during March alone. Since consumer spending and retail comprise 70% of U.S. economic growth according to the U.S. Bureau of Economic Analysis, we wanted to find a safe way to encourage customers to return to retail stores, while preventing lines. What it does Sesame is a mobile app that benefits both consumers and corporations by allowing customers to reserve a timeslot for entry at retail stores for rewards. Consumers gain guaranteed entrance to stores upon arrival, B2C rewards, and confidence that their health is prioritized. Customers can enjoy features such as sanitation ratings, scheduling calendars, and seed rewards. Corporations can open without door attendants, automatically track crowd density, eliminate long lines, and galvanize new customer interest. Features like automatic people counting and QR code entry will help to maintain a safe store capacity without a door attendant. How we built it We designed the app in Figma which is a digital prototyping tool. This allowed us to make the UI for Sesame so that we can demonstrate how consumers and businesses will use our app. Challenges we ran into One of the challenges that we ran into was in considering the ability of all stores to use the app in order to determine the number of people in their stores. We were mainly working on using the automatic capacity counter feature for larger department stores or stores in the mall. These larger stores would have security cameras and struggle to place attendants at multiple entrances. However, we realized that some retail stores do not have security cameras. In response, we decided to create a manual count feature for stores without preexisting security cameras in order to allow attendants to keep track of crowd density and limit reservations if neccesary. Accomplishments that we're proud of We’re really proud of our app’s ability to eliminate attendants at the door. The automatic capacity counting feature using live security camera feed can be combined with QR code entry with a reservation in order to enter. Currently, stores have attendants at the door who manually count the number of people entering and serve as a bouncer. Large stores have even closed certain exits to limit the number of attendants required; limiting the number of entrances and exits could create dangerous traffic flow by placing people in close proximity to each other. We think that our app is a great way for large department stores to avoid using attendants and utilize more entrances and exits. What we learned Through our research, we learned that there are two different problems for stores: Social distancing measures are generating long lines at certain stores, while customers are sparse at other stores. Overcrowded stores pose a significant risk for transmission of COVID-19, but undercrowded stores risk bankruptcy. Sesame simultaneously solves both ends of the spectrum. We also learned that managers at companies like Guess, L'occitane, and UGG are interested in offering generous benefits to customers through reward platforms in order to tackle these problems. What's next for Sesame Mobile App Next, we hope to release it on the app store so that businesses and customers can begin to benefit from Sesame. We will launch a beta version for use at Lenox Mall in Atlanta and if successful will expand to other retailers and to major cities in the US like New York, Los Angeles, Houston, etc. Besides word of mouth, we plan to expand our consumer base with more advertising and referral codes to gain benefits for inviting their friends to the app. We will also release a Google Play version of Sesame to reach a larger consumer base around the US. After successfully implementing the retail version of our app we will create spinoffs of the Sesame app by creating Sesame for schools, leisure, fitness, parks, and personal care services. Built With figma Try it out www.figma.com docs.google.com

Sesame Mobile App

As brands go bankrupt, the key to saving retail is the Sesame App. Sesame benefits consumers and corporations through time slot reservations for entry at retail stores in exchange for rewards.

['Rohan Paturu', 'Rebecca Kalik', 'Ilene Lei']

['2nd Place Winner - New Projects Category']

['figma']

https://devpost.com/software/covidhackathon2020

COVIDHackathon2020 We were inspired by thinking about issues COVID-19 caused that affect our daily lives, specifically as life begins to open up once again. Although we did not have much previous experience in developing applications, we learned the basics of React Native to create a simple verison of the application. Additionally, we created a Figma to get an idea of what the app would visually look like here: [ https://www.figma.com/proto/c6Odp1lzEjn5dNCgFOuehP/Interspace?node-id=78%3A1&scaling=scale-down ] Other resources we used to further understand various Social Media APIs are here: Instagram: [ https://medium.com/@bruceoh/data-mining-instagram-scraper-location-tag-w-yelp-data-set-2-94728064a4c0 ] Facebook: [ https://developers.facebook.com/docs/places/web/search ] and Snapchat: [ https://github.com/CaliAlec/snap-map-private-api ] We faced challenges trying to integrate the data over to the physical application. However, we believe with more experience and time with React Native it would not be too complicated of a process. We also had to consider the legality of taking this information, we ultimately concluded since the information is based on public data it did not feel ethically wrong. Built With facebook instagram javascript react-native snapchat Try it out github.com

Interspace: Social Media Based Tracking App

Interspace depicts activity through a color-coded map during COVID-19. It allows users to make an informed decision whether to go to an area, using pre-existing location data in Social Media APIs.

['Arushi Garg', 'Aparajita Rana', 'Leah Mitelberg', 'Isabella Cruz', 'Megha Mansuria']

['2nd Place Winner - New Projects Category']

['facebook', 'instagram', 'javascript', 'react-native', 'snapchat']

https://devpost.com/software/remote-learning-ar-quiz-platform

Biological Components Quiz Firebase Real-time DB Console Echo AR ConsoleUnit Inspiration Remote learning in the time of COVID-19 has been challenging for students and teachers which requires new tools and approaches. Engagement and retention in students has demonstrated a 50% measured improvement using Augmented and Virtual Reality content. What it does Generates interactive quiz modules leveraging mobile AR. Students follow the video prompts and instructions. Drag and drop the 3D assets answer on top of the video instructor. Correct and Incorrect responses as well as session engagement statistics are recorded into a firebase database. How I built it Using the Unity platform we leveraged the AR Foundation SDK to create the augmented reality platform. The assets were downloaded and imported from CG Trader to simulate a sample molecular biology lesson plan. Video assets and 3D assets are maintained and delivered using Echo AR. The quiz statistics are stored in a real-time database file using the firebase SDK. Accomplishments that I'm proud of Creating the drag and drop Quiz interactions and integrating the Firebase and Echo AR platforms. What's next for Remote Learning AR Quiz Modules Creating CMS tools for the teachers to build, organize, share and distribute individual quiz content. Built With android arfoundation c# echoar firebase samsung unity Try it out drive.google.com

Remote Learning AR Quiz Modules

Promote engagement in students using AR multiple choice quiz platform

['pichya locharernkul']

['Best AR/VR Solution']

['android', 'arfoundation', 'c#', 'echoar', 'firebase', 'samsung', 'unity']

https://devpost.com/software/team-discover-xhwl0k

The problem our project solves There are thousands of (potentially) infected people being monitored in hospitals in non-intensive rooms. These are cases that are not severe enough to be in ICU care, but if their conditions worsens, they need to be relocated there. Nurses work around the clock to help and monitor them many times a day, but current practices have huge shortcomings. There is a shortage of protective gear and they are highly overused, which puts nurses at high risk after having so many close physical contact with patients. Just as with the equipment, there is also lack of human resource: nurses are critical to stay healthy so that staff numbers don't drop. Monitoring the vital signs of a patient takes about 5 minutes for a nurse, without considering the changing of gear, which amounts to a small number of people being inspected under an hour. The measured data rarely entered and stored online, which limits any further analysis to be made. What we bring to the table We give nurses superpowers, by doing a 100 check-ups in the time that it used to take 1. All while being far from the patient, staying out of risk. Our solution enables a highly scalable patient monitoring system that minimizes physical contact between nurses and patients, which also leads to smaller shortage of protective gear. Instead of occasional visits, our device measures vital parameters real-time and uploads each patient’s data into a central server. With the help of our dashboard, doctors and nurses can oversee hundred times more patients, while our automatic alert functionalities make it possible to diagnose deteriorating cases instantly and to reach quicker reaction times. In the span of 48 hours, we have created a fully-functional pair of 3D printed glasses, allowing patients to initiate frequent measuring of their vital signs, all by themselves. These include body temperature, oxygen saturation and respiratory rate, the key values nurses regularly check on coronavirus patients. We have bought the sensors ourselves and designed the 3D printed glasses frame to blend them into one device. This fast-prototyping only cost us 21€, and mass production would lower the cost of a device even more. What we have done during the weekend We have improved our 3D printed prototype, that we have created on another weekend. We had to re-assemble the sensors and performed benchmark tests to measure the accuracy of our sensors. We have consulted with multiple medical professionals on top of the ones we have already talked to earlier and were able to come up with better infrastructure for our solution. We also focused more this time on the supporting services and the infrastructure that would be required for such a device. Our solution’s impact to the crisis Our medical device enriched with our data analysis system is designed without the need for any specific infrastructural requirement, which allows universal usage in any country. Furthermore, hospitals, regions or even countries can collaborate and share their data to find global patterns, which opens doors for new innovations to fight the virus together. Our modular sensor design and 3D printed case allows fast mass-production and short implementation time. From the medical view, we are keeping the medical staff in a safe distance to protect them from highly infective patients. With our real-time, large-scale monitoring, nurses and doctors can filter out and deal with most pressing cases while our system keeps an eye on every other patient. We have talked with over 15 professionals, including multiple doctors, nurses, investors and manufacturers, and they were eager to hear how fast we could get this to hospitals. After further recognition and an award from EIT Health, multiple doctors reached out to us, offering their expertise and support, which gave us another huge confidence boost in the project. The necessities in order to continue the project For us to scale up this project, we need partners that can help us in mass manufacturing, as we lack the experience in this area. For the manufacturing, we would need a large quantity of sensors ,injection-molding and assembling facilities. For fast delivery of the device, we also need the cooperation of hospitals, doctors and nurses to help us in testing. Their feedback is invaluable for the success and impact of our product. The value of our solution after the crisis Although the parameters measured by our medical device are the most informative values for COVID-19 infected people, body temperature, oxygen saturation and respiratory rate are key indicators for illnesses under normal circumstances as well. Therefore, our wearable makes everyday routine check-ups faster even in normal situations. Another key change would be digitalization. Many hospitals still don’t have a centralized medical system and database, while our solution could start a new wave of data analysis and speed-up innovative activities in the health industry. The available data and its analysis can also boost cross-European collaboration by sharing trends and new findings between countries, leading to more efficient and smarter future detection measures. Team We have multiple years of experience in hackathons and real life projects. Our team combines a multi-disciplinary knowledge of full-stack development, machine learning, design and business development. We are double-degree EIT Digital students at top universities, including KTH Royal Institute of Technology, Aalto University, Technical University of Eindhoven and Technical University of Berlin. Márton Elődi - EIT Digital MSc Student in Human-Computer Interaction Design - Several years of experience in software and product development Kristóf Nagy - Electrical engineer and professional motion graphics designer Péter Lakatos - EIT Digital MSc Student in Data Science - Experience in ML and business development Miklós Knébel - EIT Digital MSc Student in Autonomous Systems - Experience in robotics, deep learning and automation Péter Dános - EIT Digital MSc Student in Visual Computing - Expertise in 3D printing and design Levente Mitnyik - EIT Digital MSc Student in Embedded Systems - Vast knowledge of electrical engineering, micro-controllers and embedded systems. Built With 3dprinting arduino autodesk-fusion-360 c++ infrared pulsoximeter Try it out github.com

Team Discover

Let's give nurses SUPERPOWERS!

['Kristóf Nagy', 'Péter Dános', 'Márton Elődi', 'Levente Mitnyik', 'Miklós Knébel', 'Peter Lakatos']

['1st Place Winner - Existing Projects Category']

['3dprinting', 'arduino', 'autodesk-fusion-360', 'c++', 'infrared', 'pulsoximeter']

https://devpost.com/software/hopeful-home

Logo MVP Roadmap - Agile Planning Layers of Agile Planning Hopeful Home is a mobile app aiming to aid, support and empower victims of domestic abuse. To keep the user’s safe, hopeful home will appear as a calculator called TrigCalc. Just another mundane app. When the app opens it completely functions as a normal calculator, so if opens nothing is of suspicion. However when you enter the correct password you can enter our app. Functioning app: https://youtu.be/u42eoMLNjd8 Value Propositions: Hopeful Home app helps people experiencing domestic abuse by providing a safe Haven for users to log how they feel and gain knowledge on what will help them. Hopeful Home helps keep people experiencing domestic abuse safe by making the app password protected and hidden by a calculator interface. Hopeful Home app helps people experiencing domestic abuse by providing a diary feature where they can log their days. Therefore they can read over this later on for self reflection. Hopeful Home app helps break the cycle of abuse by providing a large education element, helping the user know their rights and breaking myths. Hopeful Home app helps tackle the 28% of failure to help domestic abuse victims because there is a lack of evidence by providing a discrete recording feature hidden behind the calculator. Hopeful Home app helps answer the user’s questions and concerns by providing an AI chatbot with a 99% accuracy Hopeful Home app helps users easily reach out to people in an emergency by providing an SOS button which can be programmed to call who the user desires. 3 options in case the first 2 do not answer for extra safety. Hopeful Home app helps users to discover patterns in their feelings by integrating a tone analyser. Hopeful Home app helps people from different backgrounds by having different translations Inspiration: During these tough and unknowing times, we decided that for us, as a team the most important aspect is the mental and physical well being of those who are lucky enough to not be suffering with COVID-19. In particular, we have chosen to look at a shocking statistic and work towards lowering it as part of our achievements from the app. Domestic Abuse figures have gone up 25% since the lockdown has started across the world, and more people now than ever before are facing aggressors in the household. With the outside world not being safe anymore, we aim to make the home a safe environment for as many as we can by educating, aiding and empowering those who are victims to abuse. Hopeful Home is an app reaching out to all genders, all races and all ages in the UK. It is critical that in this moment in time, people are supported and not isolated and this is where Hopeful Home comes in. Our inspiration also came from the women we talked to and what they felt was crucial for the app. We spoke to many women and all their feedback was integrated into the idea, such as adding a GPS tracker for the closest help service and having a place to upload Screenshots of the app. In addition to this, we were inspired immensely by the great speakers who gave up their time to come and speak to us during the live streams. Some in particular include the speaks on the first day (Mandy Sanghera and Ganesh) as they stood for similar problems that we stood for as well. On top of that, our mentors that we worked with were a huge inspiration to us, and the ones who believed in us and persisted to keep us going, even when the coding was going all wrong, and the designs were terrible. From them we have sparked a light in the correct direction and hope to help others, as they have helped us. What it does: To an unknowing eye, Hopeful Home is a simple mundane calculator app, named Trig Calc. However, using the calculator keys, typing in the pin code, takes you into the real app. Safety is the most important aspect to us. Therefore, the pin of the app will change weekly. Incorporated into our app is the AI chat bot. The chatbot is named Haven; a place of safety.The chatbot answers any concerns or questions the user has. Hopeful home also has a diary feature to write in accounts of their day. They can use this to keep track of their days and for self reflection. and uniquely, an audio-recording element. Unlike traditional microphone features, whilst recording, the screen is hidden via the calculator which is an extra security element. To empower the victim, we have also integrated education including their legal rights, preventative advice, places for support and positivity. From the women we spoke to we found they were not sure about what to do and their rights and options - so that is why the education element is so important. How we built it: We first began by using Agile Planning to ensure we would work smoothly. We made an MVP roadmap and outlined the 5 layers for agile planning. This was also accompanied with our Trello Board. We conducted extensive research for the entire 9 days and gained extra knowledge from our calls with Barnardo's Phoenix Project. We firstly began with a design specification which featured elements which victims (which we spoke to) said would be impactful. We then made a chatbot from scratch and built our own model in Python. Then we began making interactive wireframes (which are linked below) to portray everything. Furthermore, our developers then began making a Minimal Viable Project in Swift. Challenges we ran into: Thanks to great team work and communication, there were very few problems that we ran into that we couldn't solve with hard work. Firstly, a problem we faced was integrating the python chatbot into our swift app promptly. So we came together as a team and decided we would transfer the chatbot we made from scratch into DialogFlow. (A natural language understanding platform used to design and integrate a conversational user interface) which was easier to integrate in our app. Another problem we faced, specifically the developers, was trying to link all of the different codes together to make a fully working prototype of the app. Design was not easy either, as we had too many things that we were trying to cram into the design. We then decided that it would be best if we went for a single colour scheme (blue) and not to bright but more pacifying shades of blue. We also then after a lot of trial and error, decided to make the illustrations on both the website and the app hand drawn so that we could give it a more homely feel, especially since the images we had seen previously weren't giving the correct ambience that we hoped. We also found it difficult to add a scroll view in Swift Accomplishments that we're proud of As a whole we are all proud of ourselves and each other for building a potential app which could work and support a part of society that is vulnerable at the moment. Some of our accomplishments include, building the wireframes, building a website from scratch, personalising and designing our website to suit our needs, and actually coding the app on swift. Then we linked the codes together so that the app actually functions, We also did mass amounts of research and got in touch with a lot of people and charities such as Barnardo's and Women in Aid who are proud of the app, and see lots of potential in it. We have accomplished most of the app being made and then the website as well. We have also accomplished a lot in terms of development of the idea of the app, and the improvements that have been implemented through the feedback. Our pitch was also a very hard part of our project, as it had to incorporate all of the elements into 3 minutes. We worked hard and accomplished a lot to get the pitch and the video to be to the best of our ability. What we learned We have learnt a lot from this experience, including teamwork, collaboration, communication, hard work and a lot more. Our problem solving skills were enhanced and our friendship with others bonded. We also learnt how to code in ways we had never learnt before, and everything from the AI to the design developing was a new learning curve for the team. We learnt the most intricate things about the different types of design, and the most advanced things like how to make a pitch and sell your idea, and how to fund different companies. Furthermore, we learnt to trust and work together as a team, collaborating and communicating to make all of our small goals in the project be fulfilling, so that we could reach a larger goal as a team of building the app. We also learnt the importance of idea developing and feedback, and that the first idea is very rarely the best idea. When we heard feedback from different people, we got perspectives that we had never even thought about before. For example, when speaking Mandy Sanghera an international human rights activist, we were suggested to put the app into different languages for people who couldn't read English, and this was something we had just glossed over as the team. Also, after speaking to Barnardo's we understood why self-defence is ultimately the victim inflicting harm and asking for more violence. By trialling and testing the app with different people, we got such a wide variation of feedback that we are so grateful for, which assisted us in learning the importance of frame of mind and views. What's next for Hopeful Home After contacting many charities and people with experience in domestic abuse, we were told how much potential our app has. Barnardos and Women's aid both proposed to work with us, and have made connections with forced marriage unit, Coventry university and foreign office. We will decide to make our app into either a charity or a social enterprise, in which it can self-fund itself. Having great mentors, (business and design and Mandy Sanghera coming on board as our adviser), we believe that we can work towards helping millions of people, (soon internationally as well) to face abuse and be forced against their human rights. Also we want to make Hopeful Home available on all devices Built With html python swift Try it out console.dialogflow.com hopefulhome.glitch.me trello.com marvelapp.com jamboard.google.com github.com docs.google.com docs.google.com

Hopeful Home

Making everyone’s House a Haven

['Hana M', 'Sarunathi T', 'Mutsa-Pearl D', 'Meera C']

['3rd Place Winner - Existing Projects Category']

['html', 'python', 'swift']

https://devpost.com/software/ma3ak

Inspiration Egypt and other countries need to flatten the curve. we cannot stop our lives for a disease. The consequences would be worse than catching the virus. worst scenario may include country economic collapse. Taken into consideration the special circumstances for our country country population 100M people literacy for the size of the crisis we’re facing we can never rely on the citizen awareness to stop the spread of this pandemic What it does it uses positionning services for here company and the MOH data to track the suspected patients and medical staff, in order to give alarm for action for the MOH operations room to expect a Spike for COVID-19 in that areas , and disinfect them to prevent it. Also, it's useful system for tracking the historical data for the confirmed patients, in order to be accurate for the trace followup, as some poeple wont be able to remember the places they've visted and the people they're met around, but the BTS of the mobile network, and the Positionning servers for Here technologies can remember uptil 30 days historical data. How I built it I rely on the positionning service for Here Maps, ad process these tracking data using Mathworks software, as they've got suscess story with Databricksand Kafka. Challenges I ran into The Egyptian PandemicTechHack, and the Global Hack, and the Hackthecrisis NL Accomplishments that I'm proud of Finalist for the egyptian Pandemic TechHack What I learned how to give a pitch. and how to build a team. What's next for Ma3ak we're working with other governments in Europe to have the system adopted. Built With apis blockchain rust trio

Ma3ak

Tracking system for the governments to control any pandemic from the authorized personels only.

['Amira Abaza']

[]

['apis', 'blockchain', 'rust', 'trio']

https://devpost.com/software/facetag-for-seemless-journeys

Inspiration In today's increasingly populated world, and current Covid-19 situation it has shocked the world, it has become increasingly difficult to travel using public transports due to the bottlenecks it consists when people are moving in and out of the system. We are focusing on building a solution for bottlenecked gateways in the daily commute; one such location would be the entry and exit points at metro stations and Airports. The idea is to use Azure's Cognitive API (facial recognition) to have an automated payment system for public transports (using an online wallet). Imagine FastTag-based tollways for human faces without the need for any hardware / physical cards. You can simply walk in; we'll scan the face and deduct the costs from your wallet. This enables the people to just walk in, without any additional hardware (and/or RFID cards) and move through the public transport system without any wait times or unnecessary issues. What it does User story A real-time video solution that can identify individuals and make payments based on the distance they have travelled. Example for Metro stations and train stations - # The first example has two steps Scenario: User enters into X metro station Then the facial recognition platform looks for the user in the database. Then An API is called for the transaction of blockchain contract to init # The second example has three steps Scenario: User Exits from Y metro station Then The facial recognition looks for the user in the database Then it calculates the fare for the distance travelled Then An API is called for the deduction of fare from the wallet How we built it Challenges we ran into Building this hack was by far the most challenging thing any member of this team had done. There were 2 people working all night on reducing the lag in face recognition and making it as fast as possible, with ranging from testing multiple models, solutions, and methodologies and the other two members were tirelessly building the code that powers the solution on the blockchain. On top of that, the testnet for Matic crashed in the early morning, and we were unable to move forward with our testing. Unfortunately, we were any able to deploy our code to Matic. Accomplishments that we're proud of We were able to make the face recognition work with 13 fps. which makes the project making it completely realtime. What we learned WWith the help of internet and amazing blogs by steve Harley we learned azure cognitive services, Many new things to mobile app development in Xamarin. We also learned a few aspects of blockchain. What's next for FaceTag - For seamless journeys Future Additions Density check-in a Public transportations systems # Future addition would be to add a density check of people using azure object detection in all metro stations to help with the wait time of the metro in a particular station at a particular time based on the density and azure analytics Built With azure flask machine-learning python Try it out github.com

FaceTag - For seemless journeys

FastTag tollways enable commuters to simply walk in, have their face scanned, and have the toll deducted automatically from their wallet, without making any contact with anyone.

['Anshuman Agarwal', 'Shreyas Papinwar', 'zubin choudhary']

[]

['azure', 'flask', 'machine-learning', 'python']

https://devpost.com/software/clearfit-mask

ClearFit Mask Inspiration Initial inspiration came from the fact that there was a shortage of masks available to the general public and to essential workers. We saw the problem standard masks had by not allowing for facial expressions to be shown and not providing a good fit for every user. What it does We created the ClearFit Mask out of a clear PETG plastic so that lip movement and expressions can be seen and so that there is a customized fit to each users face. How we built it We designed the mask in CAD and 3D printed the prototype. Challenges we ran into During the process of creating the prototype, it was a challenge not being able to see the prototype come to life when campus labs were closed and there was a scarcity for 3D printers. Towards the end of the event, there were technical issues due to internet loss and modems burning out, but we were able to push through. Accomplishments that we're proud of We learned to communicate more effectively and make do with what we had in our homes to convey designs ideas. What we learned We learned that communication is very important when it comes to getting an end result with a due date. What's next for ClearFit Mask The future for ClearFit Mask is to bring the masks to mass production so that people may actually benefit from it and so that we may have a healthier and safer society.

ClearFit Mask

Standard masks in the market do not provide a secure fit or effective communication for users. ClearFit Mask is the solution.

['Kevin Lu', 'Bhavik Vashi', 'Fatima Kazmi', 'Ommer Khaw', 'Stephanie Senkevich', 'Roopa Jagadish']

[]

[]

https://devpost.com/software/breathe-smartly

Inspiration يوجد الكثير من المواد الضارة والغازات السامة والغبار What it does تنقية الهواء من اى مواد ضارة How I built it باستخدام مكونات معدنية ومادة mof Challenges I ran into Health اخترت الصحة لان يوجد اشخاص كثيرة اصابو بضيق تنفس بسبب المواد الضارة بالهواء من ادى الى فيروس كورونا Accomplishments that I'm proud of دخول المحاضرات What I learned Alot such as artificial intelligence What's next for Breathe smartly التنفس دون اضرار Built With html javascript python

Breathe smartly

جهاز لتنقية الهواء من العوادم والغبار

['Nourhan Hassan']

[]

['html', 'javascript', 'python']

https://devpost.com/software/healthvoice

https://sagarbk0.github.io/HealthVoice/ Inspiration What it does How I built it Challenges I ran into Accomplishments that I'm proud of What I learned What's next for HealthVoice Built With echoar firebase Try it out github.com

HealthVoice

connected during stressful times

['Sagar Bhatt Karia']

[]

['echoar', 'firebase']

https://devpost.com/software/vr-enabled-mobile-icu

Inspiration and Background: Inspiration for this project, as a continuation of the Winning Hackathon submission titled "On-Demand Intensive Care Patient Rooms," was the result of outreach by the Stevens Faculty and Team. A special thanks to Premal, Executive In Residence at Stevens Institute, for encouraging our participation in hack 2. As a result, the whole team was again encouraged to come together and go above and beyond. Since the first Hackathon, 42 Mobile ICUs have been deployed and used by COVID-19 Patients. With a total of a six-week delivery timeline from concept to delivery, the design, as presented in the first Stevens Hackathon, brought relief to the healthcare workers and patients affected by COVID during this unprecedented pandemic. Our challenge was to innovate upon our existing product, within the area of study and coordinating fieldwork during the Pandemic. Our goal was to implement Virtual and Augmented reality solutions that minimized work for field installation teams and provided a paperless and streamlined roadmap for assembly and modification of the Mobile ICU. AR-VR Solution: Age-in-place and Post-Assembly response to "Social Distancing" challenges: The design and deployment of Mobile ICUs' conceptualization to delivery was met with many physical and design constraints from mobile foundation design to medical ventilation and their components. In a Post-COVID-19 world, the immediate concern becomes the model for dis-assembly and re-assembly. In other words, how can we recover, re-use, and redeploy these Mobile ICU units given the constraints caused by COVID-19. How WE built it: As we did during Healthack 1, Healthack 2 started with a meeting of the minds. Conceptually AR-VR has been in the market or some time, albeit in silo-ed applications. The challenge would be to import the Mobile ICU model, conceptualize a productivity outcome and utilize Augmented reality and Virtual reality to Identify components, plan for assembly and dis-assembly in the field, and have digital communications moderate and minimize the need for social contact. BMarko Structures and our team worked closely with was Matt Stevenson of OUR SNRG. It was clear that there was an opportunity to integrate the facility configurations and the Virtual and Augmented tools available to the industry. Challenges we ran into and the and "Small Wins": Software compatibility leaves much to be desired across construction compatible design platforms. Specifically, the Augmented and Virtual reality interface was a challenging suite to modify and update. With limited functionality, but successful in overlaying different materials and components, a significant factor of the success of this iteration is the ability to tap and expand on equipment specifications, and a true-to-measurement accuracy of existing systems. This will enable field modifications, upgrades, and other add-ons with real-time overlay access to installation instruction without the physical presence of field supervision unless required by safety protocol. What's next for ICU Patient Rooms JIT/On-Demand: Our next design integration is to add elements of field-tested Falls prediction technology, cardio-vascular risk prediction research. The Mobile ICU Units continue to be supplied to hospital systems and other agencies with different life-cycle plans (dis-assembly vs. age-in-place). The concept will broaden to other Mobile Healthcare Lab Facilities as the need for COVID related facilities continues or is hopefully reduced. We are seeking to network with other healthcare systems in the Northeastern USA to supply these mobile and relocatable structures. Built With autodesk python revit sketchup

VR Enabled Mobile ICU

VR Enabled ICU: Augmented Worker

['Anthony Gude', 'Catherine Sullivan']

[]

['autodesk', 'python', 'revit', 'sketchup']

https://devpost.com/software/crowdcount-feld1x

1. Inspiration The idea for this project was sparked by a problem our team members noticed in their everyday lives: when going outside for essential actions (e.g. grocery shopping), it was extremely difficult to actually decide what time to go because they had no idea how crowded a location was. Google Maps gave an estimate for restaurants based on past data, but other locations such as public parks and schools didn’t even have an estimate. As a direct result of this, our team decided to develop CrowdCount to address these concerns. CrowdCount not only includes data on schools and parks, but it also updates a webpage in real-time rather than relying on past data to extrapolate predictions. The real-time aspect makes this more useful for consumers and business owners alike. 2. What it does CrowdCount is a brand-new project created for the COVID Hackathon II hosted by the Stevens Venture Center. This site utilizes state-of-the-art computer vision to track the number of people entering and exiting an establishment and updates a database in real-time, allowing business owners to get a live feed of how busy their location is. Not only would this enable earlier re-opening for businesses, but it would also create an environment that is safe for owners, workers, and patrons alike. Additionally, CrowdCount offers an easy-to-use, search-based website that allows members of the public to see both real-time and daily average data for crowd sizes at establishments of their choice. 3. How we built it Our team developed CrowdCount over the course of 9 days, including frontend development with HTML/CSS, backend development with Django, SQLite databases, and our own custom API, and open-source computer vision software using OpenCV. Even though our team members were spread out across the continental U.S., we used collaborative tools such as GitHub and Slack in order to effectively communicate and produce a polished, working product. 4. Challenges we ran into It goes without saying that the situation the world is in has created a very unique project development experience for everyone. Since our team members were all in different time zones, finding ways to collaborate in real-time was a big challenge. In regards to technical challenges, the greatest difficulty was just the fact that we were working with new tools. This meant a lot of time was spent correcting our own mistakes because we were unfamiliar with syntax or style. In particular, creating a fully functioning search bar that accessed and searched through a database was a big technical hurdle we overcame. 5. Accomplishments we're proud of We’re very proud of the end product that we’ve created and all the learning that took place throughout the development process, but the thing that really stands out to us is how well our team members collaborated despite the big separation between us all. Since our team members were all in different time zones, communication was a difficult task for all of us — we had to be very careful not to accidentally change someone else’s work or to forget to mention a necessary detail. This is easier said than done, but our team managed to avoid any of these problems, and we’re extremely proud of this fact. 6. What we've learned Going into this project, we wanted to challenge ourselves to learn to work with new tools we haven't had much exposure to. Our team members have varying levels of technical proficiency, so each member learned different skills through creating CrowdCount. Through this project, one member learned the fundamentals of front-end web design (i.e. using HTML, CSS, and Javascript), another got to familiarize himself with computer vision concepts, and someone even got to learn simple things such as how to work with GitHub. 7. What's next for this project Though we're extremely proud of the work we've done, we understand that CrowdCount, in its current state, is only the beginning of adjusting to life post-COVID-19. For the future, we hope to make our website more interactive and include robust visualizations of our data in order to provide even more to the public. Additionally, we hope to create a weekly reporting system that we can provide to businesses so that they can track changes in their crowd size over time and plan for days of the week that are busier on average. Additionally, we hope to begin integrating CrowdCount into our daily lives. One important area of us students’ lives that we feel that CrowdCount can specifically impact is university buildings — if universities can carefully monitor the number of people in a lecture hall or library, they will be more confident in their ability to protect students from COVID-19 and can accelerate the timeline of students returning to campus and receiving a high-quality education. Built With css django html5 opencast sqlite Try it out github.com

CrowdCount

A website that uses computer vision to track the number of people entering/exiting an establishment in real-time and publishes the data.

['Austin L Tao', 'Jordan Matthew Phillips', 'Shomik Ghose']

[]

['css', 'django', 'html5', 'opencast', 'sqlite']

https://devpost.com/software/nextstep-ai

Inspiration Our inspiration stemmed from the study of how important fitness is to boost immunity during these times. When the coronavirus was declared a pandemic and people started self isolating to stay safe, an equally important issue was brought to light. With gyms and fitness centers closed, it became all the more crucial to promote workout from home. If working from home can be the new normal so can workout from home. We wanted to give trainers a chance to train and continue working during these times. A lot of trainers have lost jobs or are under income freeze and this platform will help them build a reputation with users personally. The users on the other hand get a chance to keep a regular workout routine by indulging an almost real-gym like virtual experience with added performance analytics and weekly reports. What it does nextstep.ai is a virtual fitness platform that integrates trainers to go live, record fun, interactive fitness sessions of different varieties and build a reputation for themselves and their fitness centers. The users can register for 2 free, live sessions per day. They will be asked to give access to their cameras and all their movements are recorded, compared to the trainer's movements and a similarity score is generated between 0 and 1 (1 being exactly similar) and further analytics are computed to give users a feel of their performances, motivation to attend another session, competition between friends and trying different categories of different levels. How we built it We used Tensorflow lite and posenet to build it. PoseNet is a vision model that can be used to estimate the pose of a person in an image or video by estimating where key body joints are. Pose estimation refers to computer vision techniques that detect human figures in images and videos, so that one could determine, for example, where someone’s elbow shows up in an image. The key points detected are indexed by "Part ID", with a confidence score between 0.0 and 1.0, 1.0 being the highest also called as Pose Match Score. It uses TensorFlow.js along with PoseNet Libraries to provide the confidence score for not only single person pose but also for multiple person in a single frame be it trainers or users. Challenges we ran into Building a pose detection algorithm was a real challenge because such models have been exclusive research papers spanning over months. We used tensorflow lite and a prebuilt posenet algorithm to test on the fitness videos. This was a new technology for us. Getting sensible similarity scores and building analytical computations was another challenge. Accomplishments that we're proud of Our idea was our biggest strength in inspiring us to work on this app. Our commitment to the new normal and to help fitness centers recover from losses. Our pose detection algorithm is another pioneer for in the virtual experiences domain that helps quantify workouts, something not feasible at gyms. We also are proud of our dashboard of analytics which is indeed our selling point. What we learned We learned the posenet architecture and the tensorflow lite platform and the usage to build our customized pose detection algorithms. We also studied the different fitness apps similar to ours and their business plans. We learned how to write our own unique business plan that makes our service stand out. We also learned how to write different computations to generate scores, reports and analysis of our users' performances. What's next for nextstep.ai Custom diet plans Basic diet charts with calorie counts for different meals and suggestions based on preferences in the free version Custom diet plans generated using AI and integration of a chatbot to discuss any queries in the premium version Community Building: Building a community of bloggers, fitness enthusiasts and gym freaks to share their performance reports, diet ideas, recipes, articles and images Rate, like and comment on various fitness center profiles and each workout session so users can look at different categories and decide on what session they'd attend today Built With python tensorflow Try it out docs.google.com drive.google.com

nextstep.ai

A live fitness and health app so people can resume both equipment and no equipment workout of all levels and age groups with real trainers and also letting workout from home to become the new normal.

['Dyuti Dave', 'Varsha Raghavendra', 'Dishti Dave']

[]

['python', 'tensorflow']

https://devpost.com/software/zoom-education-suite-zest

screenshot of the final working state screenshot of video feed going to our facial expression analysis system screenshot of results of facial expression analysis Closed Captioning Example Inspiration A worldwide pandemic has pushed education out of the classroom and into online forums for much of the world. Zoom has emerged as one of the services leading the way in the transition to internet lessons. While certainly a capable platform in its current state, Zoom possesses some inherent limitations as a classroom substitute. We at Zest believe optimizations could be made to improve user accessibility along with providing better engagement metrics to the instructor. What it does Zest helps professors better interact with those in their class and track their students' comprehension of the material with numerous ways to collect more data about classroom engagement. (i.e. Total number of hands raised, class attendance, call on students) Zest creates a more accessible online classroom with its closed captioning service. This allows users with limited hearing to follow along more closely which improves usability. How we built it As a result of the fact that Zoom offers no API for a lot of what we wanted to track (see the next section for details), we built a bot using python and selenium to join the call (headless-ly) and collect all the information from the browser client in the background of the host's computer. The data gathered using our python + selenium component is fed into our python + tkinter interface that is displayed on the host's computer, alongside their Zoom client. Connected the Twilio API with Google's Speech to Text API to call into and get live audio from the Zoom call and provide live closed captioning during calls Used Google's Computer Vision for Image Recognition: Using Google Video Intelligence to locate frames that included a person, this would then be passed onto Vision API which would assess the emotions exhibited by those in the frame. Challenges we ran into Zoom has no API for accessing a lot of the features we wanted to use, like the number of people raising their hands, the ability to send messages, the ability to get current users, etc. While we had success with actually doing recognition of facial expressions and live closed captioning, while they do work, we did not have time to integrate their results directly into our local client that contains the rest of the features. Unfamiliar with Google's cloud computing platform, we had some struggles integrating their Vision API for emotion detection. One of the bigger issues here was in extracting single frames from Zoom to run analysis. Accomplishments that we're proud of Built a self-contained, fairly full-featured client to interface with the Zoom client headless-ly Got live closed-captioning working in Zoom (see streamable link in additional links section for demo video of that, separately) What we learned Throughout the hackathon we were in contact with the Google Cloud API through various manners, whether for subtitles or image recognition. We were also able to better grasp how large scale third-party applications can make use of API's such as Zoom's to offer a different experience and/or a better one. What's next for Zoom Education Suite (ZEST) Full integration of the results of all of our features (closed-captioning and facial expression analysis) into the main python + tkinter client that already serves everything from our python + selenium interface Bot-prompted activities, games, live-video labeling, etc. Built With gcp google-cloud python selenium tkinter Try it out zest.pw github.com streamable.com

Zoom Education Suite (ZEST)

A series of Zoom enhancements designed to augment the remote learning experience.

['Seth Kujawa', 'Max Perrello', 'Tilden W', 'Shivaen Ramshetty', 'Alexis Warren']

['(MLH) Best use of Google Cloud', 'Highlighted Project']

['gcp', 'google-cloud', 'python', 'selenium', 'tkinter']

https://devpost.com/software/cordet-an-online-tool-for-detection-of-covid-19-from-cxrs

Inspiration Medical Imaging using computational methods is a very promising area of work right now. The current computer vision models have the potential to drastically transform the landscape right now. This will not only help in providing quality health care to more people but also will reduce the burnout of people in the medical industry. What it does CorDet is an online tool for detection of COVID-19 from chest xray radiographs How I built it CorDet main CNN classifier architecture follows a MobileNet V1 CNN architecture. This model is then trained by transfer learning on dataset of 250+ chest xrays with both the positive and negative classes equally distributed. The dataset was subjected to image augmentations etc. to prevent overfitting. Challenges I ran into Managing the strict memory limits on heroku dynos was not trivial. Had to change the network architecture many times to come up with a memory efficient CNN. The Dataset The dataset used here consisted of around 125 COVID-19 positive and around the same number of COVID-19 negative CXRs. COVID-19 positive images came from dataset published on this Github repo maintained by University of Montreal. COVID-19 negative CXRs came from a kaggle challenge There is clearly lesser datat than what you would expect but with time better quality datasets will be available! What I learned Taking a trained CNN and integrating it with web applications is not as easy as it sounds. It involves plenty of work and sweat! What's next for CorDet : An Online tool for detection of COVID-19 from CXRs Improving the accuracy of classisifers, adding the support for CT-Scans. There is also a possibility of CNN able to diagnose people on the basis of cough sounds. Once there is enough data for the classfier available in the public this feature could be integrated. Built With flask heroku keras python tensorflow Try it out corvizapis.herokuapp.com github.com

CorDet : An Online tool for detection of COVID-19 from CXRs

An online tool for detection of COVID-19 from chest xray radiographs using transfer learning

['Anant Dev']

[]

['flask', 'heroku', 'keras', 'python', 'tensorflow']

https://devpost.com/software/iddonate-i-d-donate

Domain.com submission: iddonate.space, registered from domain.com's MLH code (I'd Donate, covId) Inspiration Amidst an unexpected and untimely pandemic, we’re all aware that these are times of need, and that there is always someone out there that we can help. This is why we created IdDonate (cov* Id *), or I’d Donate (I would donate) - a platform where users can search for, as well as donate and showcase items for people in need during this time. We know it can be hard to access certain necessities for some, and this hardship inspired our project to alleviate any difficulties. What it does Our platform primarily targets users who are in need. Donors and users in need can both register on our website. In particular, donors can “add an item,” that they wish to donate, enclosing a title, description (including their contact information), and an image. This item is automatically added to the central dashboard, where users in need can view this dashboard and note the contact information to contact the donors offline. How we built it Used the Python-Flask starter template with MongoDB, implemented a simple registration/login system with MongoDB, (deployed on Heroku), with a front-end employing Bootstrap’s layouts for the navigation sidebar and product item cards. We then registered a domain from domain.com to combine our final project into deployment. Challenges we ran into Google’s OAuth was very challenging to use for us, so we implemented our own login system with MongoDB. As well, this was the first time we used Flask and MongoDB, so we ran into many challenges from that side. Finally, with the time crunch that we had, it called for a lot of sleeplessness and our adaptability. Accomplishments that we're proud of We are proud that we managed to come up with a viable idea that could be used in the world today, and that we got a final product that encompasses our original vision. What we learned Using Flask to build a large-scale web app, MongoDB for login authentication, Heroku for hosting, and how to put everything together. What's next for IdDonate (I'd Donate) Expanding this to more platforms, such as Android and iOS, and launching this product to users across the world, so that we can all come together in this fight again COVID-19. Built With bootstrap css flask heroku html javascript mongodb python Try it out github.com iddonate.space openhackscoviddonation.herokuapp.com

IdDonate (I'd Donate)

Connecting users in need with donated items during this pandemic.

['Zelin zhou', 'Karl Zhu', 'Amy Nguyen', 'alexishonzik Honzik']

[]

['bootstrap', 'css', 'flask', 'heroku', 'html', 'javascript', 'mongodb', 'python']

https://devpost.com/software/mood-swings

Inspiration We were inspired by wanting to break out of constantly being worried, anxious, and stuck in a cycle. Finding new music and media is helpful in breaking the monotony of quarantine, and with specifically upbeat recommendations, new music can help lift the mood and make someone's day a little better. What it does It uses the Spotify Web API to give personalized, mood specific music recommendations. How we built it Using GitHub, the Spotify Web API and JavaScript. Challenges I ran into Accomplishments that I'm proud of What I learned What's next for Mood Swings Built With github javascript spotify Try it out github.com jcinqueg.github.io

Mood Swings

Get rid of quarantine blues and find some new music to enjoy. Mood Swings uses the Spotify Web API to recommend upbeat music according to your personal listening history.

['e-c-cone Cone', 'Anisha Shin', 'John Cinquegrana', 'Andrew DeSanti', 'Cooper Garren']

[]

['github', 'javascript', 'spotify']

https://devpost.com/software/seropass-37b8sl

Strategy Overview Services and Revenue Model SeroPass Prototype Intro Please see images attached. Built With adobe-xd flutter Try it out xd.adobe.com github.com

SeroPass

Our new normal is shaped by you

['Alex Jonsson']

[]

['adobe-xd', 'flutter']

https://devpost.com/software/scavenge

Inspiration With interpersonal contact at a minimum due to the ongoing pandemic, I wanted to come up with a way to get outside and engage with your local environment, without needing to break social distancing guidelines. What it does Using your zip code, it checks the National Wildlife Federation 's website to find plants local to your area , then builds a scavenger hunt from that list (includes pictures). How I built it I parsed responses from the National Wildlife Federation 's website, after sending them requests with custom cookies, to avoid having to enter the zip code manually. Then, I built a scavenger hunt object with the parsed information for easier usage, and used that as the backend for a (fairly basic) app that allows the user to actually perform the scavenger hunt. Challenges I ran into I've never built a mobile application before (and only one GUI altogether), so that was really tough to figure out. I spent the vast majority of my time trying to make the GUI and backend play nicely together. Accomplishments that I'm proud of The app is fairly complete, and I intend to list in on mobile appstores, so my friends (and maybe others) can play around with it. What I learned I learned how to build a complete, cross-platform mobile application. I've also confirmed my preference for backend coding over frontend stuff. What's next for Scavenge! As I said earlier, I do plan to list it on the Google Play Store and iOS App Store. Built With kivy python requests Try it out github.com scavenge.space

Scavenge!

a mobile scavenger hunt app for plants local to your area

['Max Perrello']

[]

['kivy', 'python', 'requests']

https://devpost.com/software/covid-19-symptom-tracker-ql781u

Research Research Research Research Symptom Research Research Homepage Design Symptom Timeline Design Symptom Tracker Inspiration There are a lot of COVID-19 resources available, so we wanted to create one place where they can all be accessed. We tailored it towards college students in hopes of helping our community feel safer when returning to campus in the fall. What it does Our website provides general information and resources students can use if they feel they or someone they know has COVID-19. There is a link to Health and Wellness at the University of New Hampshire which makes it easy to schedule appointments if necessary. The symptom quiz allows students to enter the symptoms they are experiencing to help determine the likelihood of them having COVID-19. How students answer each question determines what the next one will be. If a student is logged into their account, they can track their symptoms daily in our symptom tracker. All information will be saved and they can view how their symptoms have changed over time. In the unfortunate case that a student is diagnosed with COVID-19, they can visit our symptom timeline section. This is where a comprehensive guideline to the typical trajectory of the virus can be found. Our website allows students to take control of their health as well as make them feel more comfortable with returning to campus in the fall. How I built it We built this website using HTML, CSS, and Angular CLI. We each worked on one HTML and CSS section of the website and then one person put them all together in an Angular application. Challenges I ran into A challenge we faced was our level of coding experience. We are college students, each with 0-2 years of coding experience, so we had to teach ourselves and each other as we went. Accomplishments that I'm proud of I am proud of my team for working together virtually and being able to reach our goal for this project. None of us have worked together before and this was most of our first time participating in a Hackathon. What I learned During this process I learned what goes in to creating a website. I also taught myself basic HTML and CSS, as I had no experience with either. What's next for COVID-19 Symptom Tracker First, we would finish implementing certain features and cleaning up the code for the existing features. We would also keep the information we have on COVID-19 as up to date as possible. Our goal is to have colleges and universities use our website as a resource for their students. When we were creating the website, we envisioned the University of New Hampshire adding a link to it in the UNH Mobile app. This would help spread the word to students about the website as well as provide an easy way for them to access it. In the future, this website will be more generalized for all colleges and universities to use. Built With angular.js css html typescript Try it out github.com

WWiCS: COVID-19 Resource Website for Colleges

Our website gives students access to a symptom quiz as well as a place to track symptoms daily. It also provides information about COVID-19 and resources if medical help is needed.

['Julia Hilinski', 'Mallory Cashman', 'Kathryn Goldner', 'Michelle Lee']

[]

['angular.js', 'css', 'html', 'typescript']

https://devpost.com/software/mass_transit_covid

mass_transit_COVID Mass Transit algorithm that optimized distance between passengers using seat assignment Problem Carriers are burning through between $10 and $12 billion a month due to travel halt. National average of roughly one passenger for every 20 seats on Airlines. There is no lack of legislation in regards to a mass transit passenger placement safety protocol. Currently, passenger safety is up to discretion of the flight attendant and digital selection of seats when purchasing a ticket. The CDC, WHO, TSA, and Airlines for America can fill this gap with by using an algorithm such as this. Solution Using input of rows, columns, and passengers, the algorithm can determine the optimal passenger placement. Troubles / Bugs I had trouble dealing with handling and merging 2D arrays. Furthermore, in its current state, the algorithm has flaws with dynamically adjusting to extra rows. Future Improvements I look to update the algorithm using shortest path/graph theory algorithms such as Floyd-Warshall algorithm or Dijkstra's algorithm. Moreover, when I began the project, I knew graph theory and dynamic programming would be a better route to a solution but am excited to work towards their implantation after the HealthHack. Built With python Try it out github.com

Mass Transit Optimization: COVID

Mass Transit algorithm that optimized distance between passengers using seat assignment

['Luke McEvoy']

[]

['python']

https://devpost.com/software/trackerxr

Inspiration What it does How I built it Challenges I ran into Accomplishments that I'm proud of What I learned What's next for TrackerXR TrackerXR is a COVID-19 tracker enhanced by an XR interface. Try it out bitbucket.org

TrackerXR

TrackerXR is a COVID-19 tracker enhanced by an XR interface.

['Warp Smith']

[]

[]

https://devpost.com/software/covidoom

Title Screen Freedoom Phase 1 Doom 1 Doom 1, Spider Mastermind Fight Inspiration I have always wanted to mod the classic FPS Doom, but never had the drive until now. What it does This WAD changes how some weapons work, as well as the look of weapons/projectiles/enemies. How I built it I used Slade for the WAD building and modifying the weapons. Everything was drawn with GIMP. Challenges I ran into I have never used Slade before, nor have I programmed for Doom. Learning how objects in Doom work was hard at first, but the basics are not as bad as they seem, and the ZDoom website provided a ton of helpful documentation. Accomplishments that I'm proud of At first this was just going to be a sprite redraw, but once I learned what else Slade could do I decided to put more time and effort into this project. What I learned I learned how Slade and Doom works, as well as some neat tricks from GIMP. What's next for COVIDoom COVIDoom will most likely end here, as a fun first mod of Doom. This said, bigger Doom project ideas are coming to me, and hopefully will come out during my downtime (which I have a lot more of.) Ultimately, I hope COVIDoom allows people to take out their frustration on the stressful situation everyone finds themselves in now and is able to have some fun during their times spent at home. Built With gimp slade Try it out github.com

COVIDoom

Doom Guy takes a new arsenal to battle an invasion of Covid.

[]

[]

['gimp', 'slade']

https://devpost.com/software/divoc-5p2g0o

Teacher Dashboard Utilities Students Joined Flowchart Inspiration There is an old saying, The Show Must Go On , which kept me thinking and finding out a way to connect teachers and students virtually and allow teachers to take lectures from home and to develop a completely open source and free platform different from the other major paid platforms. What it does This website is completely an open source and free tool to use This website whose link is provided below, allows a teacher to share his / her live screen and audio to all the students connected to meeting by the Meeting ID and Password shared by the teacher. Also this website has a feature of Canvas, which can be used as a blackboard by the teachers. Including that, this website also contains a doubtbox where students can type in their doubts or answer to teachers questions while the lecture is going on. Again this website also has a feature of tab counting, in which, tab change count of every student is shown to the teacher. This will ensure that every student is paying attention to the lecture. Also, teacher can ask questions in between the lecture, similar to how teacher asks questions in a classroom. How I built it 1) The main component in building this is the open source tool called WebRTC i.e. Web Real Time Communication. This technology allows screen, webcam and audio sharing between browsers. 2) Secondly Vuetify a very new and modern framework was used for the front end design, routes and lucid front end animations. 3) Last but not the least NodeJS was used at the backend to write the API's which connect and interact with the MongoDB database. Challenges I ran into The hardest part of building this website was to find a open source tool to achieve screen and audio sharing. This is because Covid crisis has affected most of the countries economy due to lockdown. Hence, it is of utmost important that schools and colleges do not need to pay for conducting lectures. Accomplishments that I'm proud of I am basically proud of developing the complete project from scratch and the thing that anyone who has the will to connect to students and teach them can use it freely. Also in other applications, there is no way to know if the student is actually concentrating at the other end. Here, the features like 'Tab Change Count' and 'Ask a Question' make in possible. What I learned I learned a new technology called WebRTC which I believe that is going to help me more than I expect in future. What's next for Divoc Integrating an exam module and allowing teachers to take exams from home. Built With mongodb node.js vue webrtc Try it out divoc-app.herokuapp.com github.com

Divoc

An application that equips teachers to conduct a lecture similar to a classroom lecture during Lock Down.

['Sanket Kankarej']

[]

['mongodb', 'node.js', 'vue', 'webrtc']

https://devpost.com/software/social-distancing-supervision-system-sdss

Social Distacing Supervision System Coronavirus quick-spreading has forced nations to use all tricks in the book to contain it. A wide range of technologies has been used in their fight against the global pandemic, from applications that collect data to track the spread of the virus to 3D printed ventilators for hospitals. As Ray Kurzweil said technology is the only thing that helped us overcome our problems, we use our tools to extend our range of possibilities, our minds, and our "mindwares", and as the philosophers, Andy Clark and David Chalmers talk about technology as a scaffolding that extends our thoughts, our reach, and our . Driven by our passion for technology and with the increasing number of Coronavirus infections and the limited testing resources worldwide, flattening the curve is only achievable through collaborative efforts and social distancing became a necessity to survive. Social distancing implies changing our day-to-day routine to reduce close contact with others. While general social distancing's rules are easy to maintain on sidewalks, it can be more stressful for business owners in job sites and grocery stores. Moreover, it complicates the government's responsibility to crowded active institutions and public places. On this matter, we will address the problem of unmonitored crowds during the Hackathon by developing the SDSS as the abbreviation of the Social Supervision System. It is a real-time software based on image processing to spot crowd density. The system will take as input real-life videos from different crowded places to analyze, identify, and report the measured distance status between presented individuals in the given frame. As a result, an alert will be sent to the supervisor in case of distance violation. Thus, preserving the social rules promoted by the world health organization. Teamwork makes the dream work, but sometimes it can be a challenge. Especially when successful teamwork is all about connecting with teammates, and with a common goal or purpose. While remote work is physically possible, it’s not the optimal way for our team to engage. As our daily lives are disrupted, we have learned to build our own routine and create a remote work ambiance and find time to laugh with each other. Communicating through a digital medium without shared physical context made developing the project more challenging especially with breaking up connectivity every once and a while, but we have managed to re-read what we wrote and what we explained and we have always ensured that all team members are on the same page and no assumptions were slipped through without noticing and those little tricks make a world of difference. And eventually what we must learn and keep in mind is that we are at a pivotal point in history because now we've decommissioned natural selection, and we are now the chief agents of evolution and we have to maintain this position with all our collective efforts. Our strong and endless will lies within the next steps with what we are planning for SDSS. That includes improving its ability for crowd detection and faster alerts. We also would like to build a Web and Mobile application to extend our use cases to make it useful by not only governments and business owners but also by simple individuals. Built With angular.js opencv python Try it out github.com

Social Distancing Supervision System (SDSS)

Our application provides real-time distance monitoring between individuals for fast identification and quick prevention of social distancing violations in crowds.

['Wassim Khorchef', 'Ameni Charradi']

['First Place', 'The Wolfram Award']

['angular.js', 'opencv', 'python']

https://devpost.com/software/hospo-ai-powered-by-ai-blockchain

Inspiration We are combining telemedicine with blockchain technologies for storing EHR data, and use computer vision and natural language processing models to save time. What it does We focus on combining AI, Blockchain, and Telemedicine. Doctors can access to many deep learning models from our repo With Blockchain, unique id, and smart contracts can be made for easy data sharing Heart rate, fitness, and other stats can be retrieved from smart devices Computer Vision Models: dermatology, radiology, ophthalmology, pathology, & many more NLP Models QA (bioRxiv), automatic speech recognition for accurately transcribe patient visits, QA from EHR Data Sources X-rays, Mammograms, MRI, EHR, Journals, Speech Healthchain Tests, consultation, data from smart devices can be added to the health chain What's next for hospo.ai - Powered by AI & Blockchain Web and mobile apps Built With ai blockchain computervision natural-language-processing Try it out github.com

hospo.ai - Powered by AI & Blockchain

We are combining telemedicine with blockchain technologies for storing EHR data, and use computer vision and natural language processing models to save time.

['Arun Prakash Pillai', 'Supriya Pillai']

[]

['ai', 'blockchain', 'computervision', 'natural-language-processing']

https://devpost.com/software/providing-vulnerable-workers-with-legitimate-job-postings-5w9bdj

Inspiration COVID-19 pandemic is affecting economies in every continent. Unemployment rates are spiking every single day with the United States reporting around 26 million people applying for unemployment benefits, which is the highest recorded in its long history, millions have been furloughed in the United Kingdom, and thousands have been laid off around the world. These desperate times provides a perfect opportunity for online scammers to take advantage of the desperation and vulnerability of thousands and millions of people looking out for jobs. We see a steep rise in these fake job postings during COVID-19. In the grand scheme of things, what may start off as a harmless fake job advert, has the potential of ending in human trafficking. We are trying to tackle this issue at the grassroot level. What it does We have designed a machine learning model that helps distinguish fake job adverts from genuine ones. We have trained six models and have drawn a comparison among them. To portray how our ML model can be integrated into any job portal, we have designed a mobile application that shows the integration and can be viewed from the eyes of a job seeker. Our mobile application has four features in particular: 1) Portfolio page: This page is the first page of the app post-login, which allows a job seeker to enter their employment history, much like any other job portal/app. 2) Forum: A discussion forum allowing job seekers from all around the world to share and gain advice 3) Job Finding: The main page of the app which allows job seekers to view postings that have been run through our Machine learning algorithm and have been marked as real adverts. 4) Chat feature: This feature allows job seekers to communicate with employers directly and discuss job postings and applications. How we built it We explored the data and provided insights into which industries are more affected and what are the critical red flags which can give away these fake postings. Then we applied machine learning models to predict how we can detect these counterfeit postings. In further detail: Data collection: We used an open source dataset that contained 17,880 job post details with 900 fraudulent ones. Data visualisation: We visualised the data to understand if there were any key differences between real and fake job postings, such as if the number of words in fraud job postings was any lesser than real ones. Data split: We then split the data into training and test sets. Model Training: We trained various models such as Logistic regression, KNN, Random Forest etc. to see which model worked best for our data. Model Evaluation: Using various classification parameters, we evaluated how well our models performed. For example, our Random Forest model had a roc_auc score of 0.76. We also evaluated how each model did in comparison to the others. Immediate Impact Especially during but also after COVID-19, our application would aim to relieve vulnerable job seekers from the fear of fake job adverts. By doing so, we would be re-focusing the time spent by job seekers onto job postings that are real, and hence, increase their chances of getting a job. An immediate consequence of this would be decreasing traffic onto fake job adverts which would hopefully, discourage scammers from posting fake job adverts too. Police departments don’t have the resources to investigate these incidents, and it has to be a multi-million-dollar swindle before federal authorities get involved, so the scammers just keep getting away with it. Hence our solution saves millions of dollars and hours of investigation, whilst protecting the workers from getting scammed into fake jobs and misused information. Revenue generated Our Revenue model is based on: 1) Premium subscription availability to job seekers to apply for jobs 2) Revenue from the advertisements 3) Commission from the employers to post the jobs Funding Split 1) Testing and Development: $ 10,000 2) Team Hire Costs: $ 2000 3) Patent Application Costs: $ 125 4) Further Licensing conversations: $ 225 TOTAL: $ 12,350 Future Goals We would hope to partner up with LinkedIn or other job portals in a license agreement, to be able to integrate our machine learning model as a feature on their portal. Built With adobe machine-learning python Try it out github.com xd.adobe.com

Providing vulnerable workers with legitimate job postings

Preventing vulnerable workers from the trap of fake job posting scams

['Arushi Madan', 'Aerica Singla', 'Arun Venugopal']

[]

['adobe', 'machine-learning', 'python']

https://devpost.com/software/covid-hero

chifa - the covid hero chatbot web page chatbot chat session Inspiration Since the outcome of fast-growing pandemic Covid-19, it has become important for us as an individual to keep a minimum distance from other well beings that we call social distancing. It has become important to know the precautions and so one may face many doubts and queries related to COVID. To keep us aware and to answer the COVID related queries we have developed a chatbot called COVID-hero that will guide you throughout this global disaster. How we built it This app lets you know the coronavirus cases in your country. It’s more than statistics, it’s also helped the user to know what the Do’s and Don'ts in this pandemic are. It also helps to know the symptoms of COVID-19. Permit to the invalid persons (blind or illiterate) scan QR and that 'll read for us the notice Remember the drugs taking time for persons who's has Alzheimer for example There is also an option for self-screening. You can use it to test yourself whether you have coronavirus or not. Challenges we ran into This project deals with API and Dialog flow. API will let you the exact data of the country. Most members we new with dealing with API. They were knowing what API means but didn't do a practical project. This was taking time busting for us. Most importantly, we were having time timezones so our coordination was not establishing among each other. This project needs a lot of attention. Accomplishments that we're proud of At last, we planned our whole work which team members have to do what. Due to timezone, we establish a common time we all met and discuss our work. We successfully created the chatbot with teamwork and consistency. As most of them never experienced any hackathon. Everyone shows their teamwork and at last created our project at best. What we learned With teamwork we accomplish our project. We learn team collaboration and remotely working. We all learn new technology like trending one chatbot. We learn HTML/CSS and javascript. We deal with APIs and dialog flow. We know how the frameworks work. The most important thing we learn consistency and teamwork which makes this project successful. Our connections increased with this hackathon. What's next for COVID-hero We are planning to introduce this website on a large scale. We will be adding more features like Doctor consultancy, showing data through graphs, and informing the nearest hospital with an SMS. We will work on the website and make it more useful by adding a sign-in feature. We will also create a chatbot for the hospital. With data collected we will make more usefull and more intelligent the chatbot to permit anticipate users illness. Built With css dialogflow html javascript node.js Try it out covid-hero.herokuapp.com github.com

covid-hero

BE AWARE STAY SAFE WITH YOUR TRUE COVID-FRIEND --Covid-hero

['SOULEYMANE TOURE', 'Rahul Sinha', 'Subhayu Kumar Bala', 'apmit2704 Mittal']

[]

['css', 'dialogflow', 'html', 'javascript', 'node.js']

https://devpost.com/software/2maway

2mAway logo Inspiration We have been staying home for the last two months. I know it is hard for some of us because there are some times we have to go out. However, how can we know if it is going to be safe out there or not? Our Project helps people to feel secure every time they want to go out, not only during this time. What it does 2MAway is a website help user to stay safe during this challenging time by: Track people, you exposed to Provide services to report your health status Track location you intend to go to to see if it safe Visit our website here How I built it We use Firebase as our database, and we also integrate Google-Maps-API into our Project. We track the location of the user in our website and measure the distance between users We let the users know if they have contacted (less than 2 meters) with the person who reported to be Corona infected. We measure the number of people in an area that user choose to alert about the crowd status Challenges I ran into There were some issues behind the behind to calculate the distance and keep it up to real-time data that make us struggles a bit. However, we manage to make the back-end fully functional. Secondly, This is the first time we exposed to JavaScript. Both of us did not have any experience with JavaScript before. We learned the language and did the project at the same time. Potential Development Our Project will not only be limited to this pandemic time only. During normal days, when a user wants to go shopping, they can absolutely use our website to check the location because it is crucial to keep a safe distance with other people. Moreover, it will allow us to check the density of people at the given destination to serve different public purposes such as avoiding traffic jams, time-consuming shopping, ... What's next for 2MAway For this application, we hope that we will be able to extend the version of the app to wider uses such as check-in by location, avoid traffic jams by looking at the density of people on the road, make full potential use of shopping to avoid waiting,... Furthermore, we can make more features that will allow users to use the web application more efficiently. Built With css3 firebase google-maps html5 javascript Try it out github.com 2maway.tech

2MAway

Website helps people report health status, social distancing, and stay safe

['Tung Tran', 'Nam Dao']

[]

['css3', 'firebase', 'google-maps', 'html5', 'javascript']

https://devpost.com/software/conqueryourspace

Logo The app works for strangely shaped squares as well, such as this plaza in Italy. We account for the presence of barriers placed at the perimeter of the space, as well as obstacles in the space itself. The largest square in Europe! This takes approx 20 seconds to be generated, but it's a lot of people! All 2m apart at minimum. What inspired us In the "new" normality we are going to live in for the foreseeable future, we are in dire need of getting back our public spaces from COVID. We want to repopulate our plazas, start organising again events and gatherings, and attend to markets and fairs. In essence, we need to get back to public spaces for the immeasurable social value they represent. But... we need to do it in a safe, regulated manner. We need to respect social distancing. As physicists, we asked yourself: can we build something that can provide a solid, reliable estimate of a public space capacity, when taking into account social distancing measures? Can we build it fast? And would people be interested in it? And one hour later, we started this project: ConquerYourSpace! What it does ConquerYourSpace is a web-app that estimates the number of people that can fit into a public space. It's very simple: Look for your space of interest (a square, a park) in the map Draw the perimeter of the space Add obstacles and/or barriers on the perimeter Set the MINIMUM social distance you'd like to be observed Press the button and enjoy! ConquerYourSpace will estimate the number of people that can fit in the space, using a physics concept known as Random Packing. It accounts for the "stochastic" nature of people, so it truly is one of the best way to provide a guideline for crowd control! How we built it One of us pitched the idea to a number of local artisans. They have been severely affected by COVID in their business, and they absolutely loved it -- they truly saw it as the way to get back to their foot as fast as possible, and start organising again local markets and events to launch their business again. So, we first prototyped the physics model behind the idea. Then, using Wolfram Mathematica, we started applying it to squares and parks around the world. We have an arXiv preprint based on this: check it out! https://arxiv.org/abs/2005.07038 Then we started thinking about how to make it accessible to everyone. So, we signed in for the hackathon, assembled a ragtag team of developers and students and, with the help of the artisans in the team, who provided feedback and ideas, we built our prototype app. We used Python in the backend, Javascript, Node.js and CSS in the frontend, and we deployed it as a React app on the cloud. Challenges we ran into One of the first thinks you'll notice is... The app only works for Europe so far :( The reason is essentially time -- we tested it extensively on European squares and parks but when we tried outside Europe we found out our geo-localization method was not appropriate. However, changing it was, unfortunately, challenging. Something we definitely did not expect. We are very sorry for it! Another challenge we faced is calculation speed. There is a lot of number crunching behind it. While we could implement the physical model relatively painlessly, making it so that the calculation would be "almost" real time for a user of the app has been very challenging. Luckily, we managed to solve that at the end! Finally, it was relatively hard to agree on the "best" user interface. While the concept is simple, we could not satisfactorily find a way to present the app to the user with all the functionality, but in the simplest way possible. Shall we allow the user to draw the plaza shape? Shall we use predefined polygons? How should we design the buttons and such? These challenges were absent when we prototyped the physical model, but took us a lot of time when developing the app. Accomplishments that we're proud of We are really proud of the feedback we have received so far. While we were kind of expecting praising from artisans and public event organisers, what we loved was people reaching us to implement it for indoor spaces as well, such as offices and university laboratories. This made us realise that this idea could really make an impact across all societal levels for regaining working and social normality during the "new" normality, not only in the public but also in the private. We also showed the app to professors and academics. What we did not expect is that they all backed us! Yes, implementation is simplistic and yes, a lot could be added. But they all loved how far a simple physical idea could be translated to tackle a societal issue such as this. We are very proud of their feedback. We are also really proud of what we achieved as a team in, essentially, a weekend. We "clicked" so well and engaged so much, that we achieved what we thought it would require us more than a week. And we loved the experience, so much that we plan to keep working on it as a possible start up! What we learned We learnt a lot from all the other team members, all with different backgrounds. We learnt from the model developers that everything can start from a simple idea. We learnt from the backend developers that robustness and speed of the implementation are of utmost importance, no matter how solid the theory behind it is. We learnt from the frontend developers that a beautiful interface makes the difference between an app which is impossible to use and an app you can have fun using. And we learnt from our artisan "stakeholders" that none of this matters if they cannot use it! Overall, we really learnt a lot about project development, from beginning to end. This was a very inspiring and precious lesson for all the people in the team. What's next for ConquerYourSpace We plan to add a lot of things in the near future. To start with, we would like to expand this idea to be used in indoor spaces as well; this is our top priority. Then, we plan to add the option of specifying "escape" routes. We would also like to add the option of simulating the presence of couples, alongside individuals. Finally, we would like to start implementing a simple simulation of crowd dynamics to make it more realistic. All in all, these are our initial bullet points, but in essence we are really thinking to "scale" it up. However, the first step in absolute is that... the app should be used by as many people as possible. This will provide us the feedback and the suggestions for implementations and improvements, as well as the momentum to get this project to fly. We hope this is going to happen in the next immediate weeks, and we are really looking forward to it! Built With google-maps javascript node.js python react Try it out ec2co-ecsel-1374rr8nsrhuo-139205145.eu-central-1.elb.amazonaws.com github.com

ConquerYourSpace

Can you optimise the capacity of public spaces while respecting social distance? Can you reconquer your spaces in the new normality? Of course you can, with ConquerYourSpace!

['Alessio Caciagli', 'Álvaro González García', 'Sander Bollen']

[]

['google-maps', 'javascript', 'node.js', 'python', 'react']

https://devpost.com/software/a-c-c-t-s-automated-comprehensive-contact-tracing-system

window.fbAsyncInit = function() { FB.init({ appId : 115745995110194, xfbml : true, version : 'v3.3' }); // Get Embedded Video Player API Instance FB.Event.subscribe('xfbml.ready', function(msg) { if (msg.type === 'video') { // force a resize of the carousel setTimeout( function() { $('[data-slick]').slick("setPosition") }, 2500 ) } }); }; (function (d, s, id) { var js, fjs = d.getElementsByTagName(s)[0]; if (d.getElementById(id)) return; js = d.createElement(s); js.id = id; js.src = "https://connect.facebook.net/en_US/sdk.js"; fjs.parentNode.insertBefore(js, fjs); }(document, 'script', 'facebook-jssdk')); This is an example of the data stored in the data base. This is what will be shown if Jhulian Batul (Tested Positive) was searched. Cellphone Message that you will receive once the system had been updated with a positive patient you've been in contact with. Cellphone Message that you will receive once the system had been updated with a positive patient you've been in contact with. Scan this and your entry will be recorded on https://docs.google.com/spreadsheets/d/1yZVPnMnBQh2Wtf5TIyktppOHUj5VrV-bwgB_60YWo0o/edit#gid=0 Scan this and your exit will be recorded on https://docs.google.com/spreadsheets/d/10XQftHvqN88Gz_4ASJKf0y9BIJYDUCt2gN5DkzbxmXU/edit#gid=0 This is the basic flowchart of the database. This is what it looks like in the system made. Fillup Inspiration A lot of people here in the Philippines do no have food anymore. A lot of people have become unemployed. We can't stand to see people having anything to eat. With that said, we had thought of a way in order to flatten the curve effectively which wouldn't cost anything since we would be using QR codes and the system database is based online. This way, the third world-countries will also have a way to flatten the curve even if they do not have advanced infrastructures. We want to solve the pandemic as a whole so we can all get back to our normal lives. What it does A.C.C.T.S Automated Comprehensive Contact Tracing System How does it Work? ENTRY SYSTEM Each establishment will be equipped with a smartphone or any type of scanner that can be bought at a low cost that has the ability to read QR code or bar code. This can be done for free using a smartphone app and using the smartphone as a scanner. The data will then be stored in a database wherein it could be accessed. This means that it will be possible to determine when and where a person was at a particular time and who did he have in contact with at that certain time. ID SYSTEM Every person will have an ID. There will be two types of IDs for flexibility. The proposed ID will contain basic information including family members, name, age, address, and contact number. The first type of ID will just be a QR code or bar code that could be saved as an image on the phone. Everyone doesn’t have smartphones and so they can be given a laminated copy of a printed picture of their QR code or bar code. This approach was chosen because little to no money will be spent on the ID. SEARCH SYSTEM All of the entry and exit data of every person in stores within the city will be stored in the database that could be accessed by the system. For example, Jhulian went to Sm Hypermarket from 3 pm-4 pm, Dwight went there from 3:30 pm - 4:30 pm and Lance went there from 4:pm-5 pm. Let’s say that Jhulian was tested the next day and it turned out that he was COVID-19 positive. The database will then be updated with his status as positive. Once the name Jhulian Batul was searched on the system, it will show everyone that had been in the same place as him as well at the same time. In short, Jhulian was in the same place as Dwight. That means Dwight would then be a PUI. However, Dwight also interacted with Lance. Lance did not interact with Jhulo but he interacted with Dwight who is now a PUI. Although there is a low probability, there is still a chance that Lance might have been infected. This is where the probability system comes in. PROBABILITY SYSTEM There will be a scale that will determine the degree of possibility that someone had been infected. This will include very high, high, low, mild, very mild. The terms first contact, second contact, third contact, and so on will be used for explanation to avoid confusion. In this case, Dwight is a first-contact, while Lance is a second-contact. In the system, Dwight’s possibility status will be labeled “very high” and Lance will be labeled as “high”. Those who were in the same place and time as Lance who did not come in contact with the COVID-carrier will then be labeled low. Why is this important? The system will help health professionals determine who must be tested first and who is the top priority to the least. The targeted testing becomes more systematic and in this way, we will be able to save test kits and be able to reach more that has very high chances of being positive. SMS SYSTEM Going back to the example, once the status of Jhulo had been updated to positive, the built system will automatically message the cellphone number of everyone who had been at the same place and time with him. This will include the first contact up to the fifth-contact. They will be immediately messaged that they should observe home quarantine since they are now a PUI. Their data will automatically be sent to the local government unit as a PUI. It is possible to message them since the QR code that was made contains their information including cellphone number and address. SIGNIFICANCE This system will be able to effectively trace everyone who might have been infected with COVID and is symptomatic. In a maximum of 3 weeks, the curve can be effectively flattened in each city if this is to be adapted. It also has the capability of preventing a second and third wave. What’s more amazing about this is that it becomes a preventive measure for future outbreaks or pandemic. Once this had become adapted on a national level, it would even protect us if ever a pandemic occurs again and an infected person from another country would have traveled to ours. COSTING The system will only cost little to nothing. This is because it utilizes QR codes which could either be printed or saved as an image on the phone. The establishments, on the other hand, can use their phones to scan the QR wherein the data collected would be saved in the online database. How we built it For the entry/exit system we had used IFTTT. We used a webhook and turned it into a QR trigger. Through that, every time that the QR had been scanned, the data attached to it will automatically be added to the database. This is also helpful because establishments won't need to buy scanners and can use their phones for scanning. For the application and web dev, we used Android Studio and VsCode. Challenges we ran into The only challenge we had was time. This is because the telecommunication signals are weak and that makes it hard to communicate with the team members. We also discovered the hackathon just yesterday so we only had 26 hours to do the system. We were not able to integrate the SMS system because we didn't have much time left. We wish we had more time to polish the system since we just joined one day ago. Accomplishments that we're proud of We had already reached out to government officials. This system will be able to help third world countries with limited budgets and finish contact tracing within a month if implemented. Previous Accomplishments of the team: 2 International Gold Medal Science Fair 2 International Bronze Medal Science Fair 2 National Student Scientists Medal 1 World Research Conference Invitee (Abstract Paper Entry) 1 National Student Research Conference Invitee (Abstract Paper Entry) 1 National Business Innovation Award 1 National Business Innovation Finalist 1 Regional Science Fair 1 Judge at International Robothon Competition (Southeast Asia) 1 3rd Place Holy Angel University and SunMoon University Autonomous Car Design(International Adventure Design) Finalists at AnimoLabs 1 2nd Place Holy Angel University and SunMoon University Autonomous Car Design(International Adventure Design) What we learned We had learned a lot of shortcuts that can be used in this hackathon. We had also learned a variety of new skills. What's next for A.C.C.T.S (Automated Comprehensive Contact Tracing System) We have contacted the local government, looking to implement it. Once it works well, we will publish it as a paper so that it can be a preventive measure that can be adapted by the world. It has the capability to end the first wave in less than a month, prevent a second and third wave. It is also good not just for first-world countries but works really well with third world countries since it won't cost that much. Built With android-studio database ifttt vscode webdev

A.C.C.T.S (Automated Comprehensive Contact Tracing System)

Comprehensive Contact Tracing System That Can Flatten The Curve, Prevent Future Pandemics, Real-Time Updating of positive Patients, can track the contacts and be messaged as PUI as soon as possible.

['Heinrich Tulan', 'Kerwin Reyes', 'Jed Mewag', 'Jeric Navarro', 'Jilmer Hipolito']

[]

['android-studio', 'database', 'ifttt', 'vscode', 'webdev']

https://devpost.com/software/crisis-response-mapping-4dwvch

Data map showing cases as well as health policies in each state Chart displaying average new daily cases per 1 million for each policy Sample data table showing policies implemented in each state Crisis Response Mapping Message Provide Clarity, Prevent Confusion, and Proceed Forward Background The United States of America has been combating the COVID-19 pandemic for months. With this crisis, new policies and procedures have been enacted to help slow the spread of the virus. This site was built at during COVID HealthHack 1 and originally tasked to track the spread of the disease and the emerging policies to follow. But because the US plans on reopening in the near future, the task of the site was broadened to not only show the trends of the virus spread between the states but also how policies implemented within each state affected the trends of the disease. Objective The essence of our project is to provide a better, dynamic map and trends dashboard for the spread of the virus, as well as the policies enacted for preventative measures. Our goal is to provide clarity and awareness to the ongoing pandemic as the focus shifts to reopening. Ultimately, we aim to assist policymakers, as well as the public, in what is being done to stop the pandemic. Target Audience Policymakers - Create a tool they can use to see other state's policies and procedures, and how well those states are doing in terms of infection Citizens - An accessible database to see how their state is fairing against the virus, as well as what policies the state has enacted to protect them. How We Built It For this site we used the python Flask micro web framework as the backbone because it is lightweight and easy to use, perfect for our website and hackathons in general. The site itself is built with vanilla HTML, CSS, and JavaScript with most of the heavy lifting happening behind the scenes in Python. In order to use the KFF spreadsheet database we used the google sheets API and to use JHU's Github csv repo database we used the python Pandas module. The data is then processed and displayed on the website using the google maps and google sheets API's. The site is hosted using Heroku and Gunicorn. Challenges We Ran Into We ran into challenges in terms of skillset and utilization of git but overcame that by persistence and learning from web sources. What We Learned With this project, we learned how to use Google APIs and furthered our programming skills. The project also revealed how rewarding it is to work on a project that matters and that can help people during this difficult time. What's Next for Crisis Response Mapping We plan on keeping the website up to date and to improve the site through user input. The repo is completely open to the public so any and all pull requests or suggestions are greatly appreciated. Built With beautiful-soup css flask git google-chart google-maps google-spreadsheets heroku html javascript python requests Try it out covidpolicies.herokuapp.com github.com

Crisis Response Mapping

A dynamic map and trends dashboard for the spread of and response to the COVID-19 pandemic that provides information on the current policies in place to combat the virus within the United States

['Chloe B', 'Anand Shetler', 'Tristan Bacani']

[]

['beautiful-soup', 'css', 'flask', 'git', 'google-chart', 'google-maps', 'google-spreadsheets', 'heroku', 'html', 'javascript', 'python', 'requests']

https://devpost.com/software/cleanse-y9uikg

Here is Cleanse in the context of a bathroom. Here is Cleanse in the context where a bathroom is not available (e.g. at supermarkets). The group as a collective felt that it was necessary to contribute in the fight against COVID-19 and we thus decided to come up with a solution which will limit the spread of the disease. After several brainstorming sessions and thorough discussions, we eventually came up with Cleanse. Cleanse is a hygiene compliance software that cultivates healthy hand hygiene habits amongst front line workers & essential workers (e.g. restaurant/grocery workers) through proper guidance and reminders.Through this, we aim to improve and raise awareness about the importance of hand washing, especially in this time of crisis, where the disease is spreading like wildfire. The Cleanse prototype utilizes multiple machine learning algorithms and models to track and guide users through various handwashing actions. We created a custom data set by capturing and feeding images of the correct hand poses for the 7 different handwashing steps. These captured data are collected and normalized to allow the model to recognize variations in hand sizes. The data is then fed into a neural network where we trained the model before deployment. Through bluetooth, the micro bit receives signals through the cloud, communicating with and activating the lighting system, signaling to users when each step is completed. Through this project, we learned to use different libraries and frameworks like p5js, ml5, tensor flow, mediapipe and the microbit. One of the biggest difficulties that we faced was trying to train an accurate hand washing model for Cleanse. We had to take special care of various angles and hand sizes during the data collection stage which could affect the accuracy of the results. With Cleanse, we hope to empower these frontline workers with the necessary knowledge and technology, to protect them against the potential threats of COVID-19 as first responders in this pandemic. Built With css figma html javascript mediapipe ml5.js p5.js tensorflow.js Try it out tinyurl.com github.com

Cleanse

Cleanse is a hygiene compliance software that cultivates healthy hand hygiene habits amongst front line & essential workers (e.g. restaurant/grocery workers) through proper guidance and reminders.

['Jun Peng Yeo', 'Shaina Kang', 'Chloe Chan', 'Kah Kiat Tan']

[]

['css', 'figma', 'html', 'javascript', 'mediapipe', 'ml5.js', 'p5.js', 'tensorflow.js']

https://devpost.com/software/reshape

Main Screen Kitchen Listing Page Kitchen Listing Page with Options Empty Floor Plan Adding New Reservation Social Distanced Seating Inspiration For the past 4 years as students of Stevens Institute of Technology, we’ve relied heavily on the independent businesses that make Hoboken feel like home. They’ve provided us with not only food and services, but places to study, conduct business, and build relationships. Due to the coronavirus pandemic, many local businesses are facing struggles that don’t just affect their patrons, they affect almost half of the American workforce. According to the U.S. Small Business Association, 47.3% of the American workforce is employed by small businesses, nearly 60 million people. We’ve strongly felt the absence of these Hoboken businesses, and we wanted to develop a solution to help the businesses we love reopen, and stay open. What it does ReShape is a dynamic, two-part platform for small business owners to collaborate, communicate, and optimize their business while remaining compliant with social distancing regulations. One half of our solution is an e-Marketplace dedicated to facilitating the collaborative spirit of local Hoboken businesses. On our platform, business-owners can offer and request resources that benefit one another. For example, businesses can offer physical space such as kitchen, storage, or floor space in return for a set price, profit sharing, or any other agreed upon terms. ReShape’s e-Marketplace platform is adaptable to the needs of local organizations and facilitates the communication between Hoboken business owners. The other half of ReShape is a tool, tailored to restaurants with dine-in services. The tool is designed to dynamically change the layout of a restaurant or bar to maximize the number of patrons while maintaining the CDC social-distancing guidelines. Any restaurant will be able to digitize their floor plan in our web app and specify the amount, type, dimensions and capacity of seating available. As reservations enter the restaurant’s system, the platform will automatically optimize the layout to ensure the safest and most efficient means of serving customers. How we built it Prior to developing the solution, the team used a series of agile problem-solving techniques similar to Google Design Sprints to understand the unmet needs of the customers we wanted to help. The layout and wireframe functionality was all built in Figma to model the user’s experience while navigating ReShape. Challenges we ran into Developing our understanding of what the “new normal” might look like. To overcome this hurdle, the team modeled our solution to reflect the steps taken by countries that are beginning to reopen, despite being devastated by COVID-19. Identifying the scope of the problem we intended to address. We communicated with local business owners and restaurateurs in the Hoboken area to identify the immediate challenges they were facing locally, so we can design something that was both feasible and purposeful. Coordinating and maintaining communication with a diverse group of individuals using online platforms. With clear and direct management, we were able to optimize the skills of 9 different teammates to work collaboratively towards a common goal. Accomplishments that we're proud of We were able to pivot quickly when we determined that one of our original concepts was not addressing the Hackathon prompt We identified a problem and interviewed customers to determine their pain points and adapt our scope before creating a solution. We developed a marketplace that addresses actual needs and help businesses cope with the new normal. Hearing from local Hoboken business owners that they not only find great value in our solution and would use it in their establishments, but they would invest in the product if we were to take it beyond this Hackathon. What we learned The customer is the center of every solution and UX design is imperative not only in designing a front end solution, but the overall viability of a product. Managing communication is difficult online, especially across multiple parties with varying agendas during this unprecedented pandemic. Organizing an internal infrastructure with specific communication channels is imperative in maintaining synchronicity in a collaborative design effort. Work quickly in small sprints by clearly identifying actionable items and delegating responsibilities across teammates' skills What's next for ReShape Conduct small scale experiments (fake front door experiment, Wizard of Oz experiments, etc.) to determine the desirability, feasibility, and viability of the e-Marketplace and floor planner solutions. Interview more target market customers to determine the most important features necessary to include in the Minimum Viable Product Once experiments have proven that our solution would be desirable, feasible, and viable, we would develop the entire technical solution for customer use Additional Materials: click here For additional materials, please visit the linked appendix above to view important auxiliary information that further outlines our design process... Customer Interviews Market Research e-Marketplace Technology Floor planner Technology Business Model Health, Safety, and Liability Concerns Built With agile-development-methods figma html5 mit-app-inventor

ReShape

ReShape is a dynamic, two-part platform for small business owners to collaborate, communicate, and optimize their business while remaining compliant with social distancing regulations.

['Emilio Domenech Estarellas', 'Zachary Lopez', 'Thomas Bloxam', 'Kiran Joseph', 'Juliet Yeomans', 'Michael Snajder', 'Laura Murphy', 'Kyle Warnock', 'Pat Song']

[]

['agile-development-methods', 'figma', 'html5', 'mit-app-inventor']

https://devpost.com/software/caresnow

Inspiration With millions of people losing their jobs every week and struggling to file and receive unemployment benefits due to the COVID-19 pandemic, we wanted to come up with an idea to help expedite this process. In our current system, recently unemployed workers file claims with state government unemployment offices, which then proceed to verify with employers that termination was not the employees' fault. By having employees file benefits, there exists a huge backup where unemployment systems are overwhelmed with multiple calls from people trying to compete to be first in line and can't get benefits to recently unemployed workers. What is CARESNow CARESNow is a system that allows employers to easily file unemployment benefits for their employees--it is designed to leverage existing financial relationships rather than use the slow verification systems that exist currently. By having employers file, this system avoids overwhelming phone and online processes as only 1 claim is filed per worker. Our system works by having the employer submit identifying information, compensation details, and reason for termination to CARESNow, which acts as a vendor that files claims to unemployment offices. Then CARESNow sends a unique employee ID to both employers and employees as a receipt for tracking and verification purposes. Employees then have the option of submitting corrections for any information from employers. Once the claim is approved, employees begin receiving unemployment benefits. This process eliminates the need for unemployment offices to wait for claims from employees and having to manually check with employers for termination reasons. As a result, this system is streamlined, accountable, and is faster and more convenient for all parties involved. CARESNow allows unemployment offices to process claims faster, reduces workloads for enterprises, and allows recently unemployed workers to receive their benefits quickly and without hassle. Accomplishments that we're proud of We designed an easy to use system with an intuitive UI and solves a major problem in the COVID-19 crisis. We believe that the solution we have will make a big impact and improve the lives of many in these difficult times. What we learned Unemployment benefits are complex. This system only touches the tip of the iceberg when it comes to the many problems with our current system. From outdated systems, to antiquated processes, there is a lot of room for innovation in this space. We learned that it's difficult to design a streamlined system, as there are multiple parties involved, logistical issues, and concerns for all stakeholders CARESNow must address. We found that it's important to figure out a solution that works and benefits employers, employees, and governments alike. What's next for CARESNow CARESNow needs to be fleshed out and incorporate security standards to protect the privacy of its users. In addition, integration needs to made with existing unemployment systems and partner with enterprises to begin beta-testing. We need to work with policymakers, employee representatives like unions, and enterprises to tailor to their needs. The biggest challenge for CARESNow is adoption, especially as government can be slow to upgrade and adapt to modern systems. The COVID-19 crisis, however, has shown that there is a need for system upgrades and we believe that CARESNow can capitalize on this need and be the solution that fixes our broken system. Built With bootstrap html5 javascript jquery Try it out github.com

CARESNow

A new unemployment benefits system for the modern age

['Rohan Narain']

[]

['bootstrap', 'html5', 'javascript', 'jquery']

https://devpost.com/software/litfit

Login Screen Achievements Calorie Calculator Tips and Health Resources Steps/Main Page LitFit Wearable (M5StickC) Heart rate and blood oxygen level sensor Inspiration Obesity is one of the deadliest killers in society today. About 1.9 billion people over the age of 18 are overweight: 1/4 of the entire planet and 650 million people out of that 1.9 billion being obese. Obesity alone causes 2.8 million deaths every year . It is safe to say that obesity is one of the most common killers of today, and is overlooked heavily by people. We sought to facilitate weight loss and encourage healthy living by creating a product that encourages you to be mindful of your daily activity. During the lockdown, people are more sedentary than ever. LitFit aims to eliminate a sedentary lifestyle and encourages users to adopt a healthier lifestyle. What it does Our app has multiple features that all are geared toward adopting a healthier lifestyle, whether it be through increased exercise or better eating habits. Our app tracks your movements and exercise using Step tracker, which tracks your daily, weekly, and total steps. Total steps are then translated into Exercise points, which earn you achievements, giving the user a sense of accomplishment, motivating them to live even healthier and be more active. The Calorie Calculator utilizes a novel Machine Learning algorithm to detect the food calories as well as the type of food given an image, which is uploaded by the user. The Health tab tracks your pulse and oxygen percent saturation, as well as gives you tips on how to live a more active lifestyle: the three golden rules of LitFit. We also provide useful resources on quick workouts that the users can quickly jump. All of these features contribute to an amazing application that promotes healthy living. How we built it We build the front end entirely out of flutter, a multiplatform mobile application SDK. The hardware base for this project is an M5StickC microcontroller. The M5StickC has an ESP32 as its base with an in-built 6 axis IMU sensor. The IMU takes the accelerometer and gyroscope reading which are then used to calculate the number of steps taken by a user. External hardware plugins were also used to gather surrounding data. These sensors provide us with ambient temperature (outside temperature), Ambient Humidity, Ambient air pressure, and heart rate (pulse). All the reading from the wearable device are then relayed to an open-source mobile app giving the user a real-time data with a user-friendly interface The backend servers are implemented as APIs running on a virtual server and using MongoDB as the primary database. Challenges we ran into One challenge we ran into was uploading the image onto a server. James, the frontend designer, had trouble figuring out how to stream the data back from the output of the backend into the UI asynchronously, however, he figured it out after a few hours of trial and error. M5StickC is a 2019 product, there is little to no online support for troubleshooting. Working with such new hardware and navigating through its library to get useful functionality out was a huge challenge. Accomplishments that we're proud of We are proud to actually accomplish what we set out to do in the beginning. Our initial goals were to build the ML algorithm for calorie detection and track steps, heart rate, and blood oxygen. However, we went above and beyond our initial goals through hard work and implemented further capabilities, such as the achievements page, login, additional resources, inspirational quotes, and more. Linking up the hardware with the software felt amazing because it seemed like everything was clicking into place. What we learned I learned a lot about how servers communicate with clients. I learned how to use HTTP get and post requests, as well as sending images to a server in a multipart server request. I also learned how to create a better and simple UI for a better UX. - James What's next for Lit Fit We hope to develop LitFit further to be more lightweight, as well as polish the Front-end and add more features. Some of the features are not fully functional, such as Login and achievements, but those features can be implemented with more time. We believe LitFit can actually be a revolutionary weight-loss miracle product and hope to pursue that goal of promoting a healthy lifestyle. Built With arduino flutter mongodb python Try it out github.com

LitFit

Revolutionizing Weight Loss Tactics

['James Han', 'Muntaser Syed', 'Dayna AC', 'Prashant Bhandari']

['Best Health Hack']

['arduino', 'flutter', 'mongodb', 'python']

https://devpost.com/software/cover-u

Main Screen of the User (with Contacts and Special Group "Close Proximity Contacts") Health Status of Your "Close Proximity Contacts" Proximity of Infection based on Fused Location Techniques Notification Alert when a "Close Contact" of the User is Diagnosed with COVID-19 Inspiration For many people worldwide, severe limitations on daily life because of COVID-19 have become the new normal. The economic, social and personal impact of all the wide-reaching restrictions imposed by governments all over the world is immeasurable. Economies are struggling, people are losing their jobs and they feel insecure as they are terrified to go out or to get in touch with anyone. Even numerous of restrictive measures and general lockdowns in a country level cannot handle the spread effectively. This comes as a direct result of the inability of the governments to instantly, accurately and efficiently trace all those who have come into close contact with an infected person. Identify and analyse each and every new case is typically a very labour intensive endeavour, demanding a great amount of effort of the personnel of the Health Authorities. As a result, the real number of the COVID-19 cases and the estimation of the spread is impossible to be accurately calculated. For these reasons, we need more effective ways in suppressing the pandemic in order to return to our daily lives now and safely. It is also extremely important to provide a cost effective exit strategy to governments in their target to avoid or manage a second wave of COVID-19. What it does COVer-U , a mobile Contact Tracing Application , offers decentralised and free tracking of the contacts of a person that is diagnosed with COVID-19 with respect to people’s privacy. Tracking will be a combined result of 2 pools of data resources : Fused location techniques such as Bluetooth Low Energy (BLE), GPS, Wi-Fi, Cell Networks . These Location techniques will follow a decentralised way of storing data so as to overcome any privacy risk. The data will be stored in the user's mobile only and will be correlated locally with the data of any affected user with the proper level of Anonymity . Information sharing between specific contacts and groups that each person optionally can create in the application (based on the voluntary participation and approval of each user). Each Group will follow some principles and proper Terms of Use on what information can be shared to this specific Group. Only authorised members and only in specific groups can receive notifications about the change in the Health Status of a group member. With the combination of 2 pools of data resources the solution aims to cover even bigger percentage of tracking the infection, where other similar solutions fail. By information sharing, it will cover cases even when someone is not carrying a mobile phone at the time of infection! It will follow the regulations regarding Privacy and Sensitive Data handling (GDPR, Terms of Use, Anonymity, Encryption, data will be deleted after 2 weeks period). Using Groups & Contacts A user will be able to optionally add Contacts and create various Groups . Each Group will follow some principles and proper Terms of Use on what information can be shared only on these Groups and nowhere else. Close Proximity Group : There will be a mandatory Group, named “Close Proximity Contacts”. Each user will be able to add people in this group under the following principle: User is advised to add only the persons that is expected to come into close proximity on a frequent basis (at least once every 2 weeks) • The purpose of using “Close Proximity Contacts” group is to ensure that the application will cover more cases of a user running into an infected person within each user’s social network in everyday life, thus increasing the coverage of the application. • These contacts can be Family, Friends, Co-workers, Neighbours, Local Shop Owners and Employees, in general every day persons that the user comes into close contact. • User will be notified with status changes in their avatar: “COVID-19“, “Stay Home” Icons. • Optionally and if approved by the user, the “National Health Care System” will be notified. Checking Health Status Each user will have a "Health Status" Button. The user can optionally press this button, i.e. to check every day the status. Then, the application: • Will do the match on each user's mobile between the user's location data and the location data of the positive tested people. • Send notifications to the proper target users based on some matching criteria for the last 2 weeks with a level of probability of infection. These people should be informed that they were possibly infected by another person so as to take precautionary measures. Data will be encrypted during the whole procedure and will not include any personal data (i.e. no name, mail, phone etc). Where we Differentiate By using both GPS and Bluetooth technologies, we expect to have bigger coverage of tracking than any other solution now can offer (as they use only one of these technologies) By using Contact Information Sharing we expect even greater coverage. These cases cannot be covered by any Location Technology (e.g. Bluetooth, GPS, Wi-Fi, Cell Network) We cover cases when a person touches a contaminated surface. This infection could have been caused even between 2 persons that never met. These cases cannot be covered by using only Bluetooth Technology. We cover cases where the infection caused by the virus that was transmitted through droplets generated when an infected person coughs, sneezes, or speaks. This infection could have been caused even between 2 persons that never met. These cases cannot be covered by using only Bluetooth Technology. We can trace incidents when someone is not carrying a mobile phone at the time of infection. We believe that such incidents cover a great percentage of the overall number. Some examples can give some insight: CASE 1: John goes for a while to a neighbour market, grocery, pharmacy without his phone. The owner of the shop is infected. CASE 2: Mary works in a company and drops by to the 2nd floor to meet a teammate or attends a scheduled meeting in a room with some co-workers from a different department and leaves her phone at her desk. One of these co-workers is already infected. CASE 3: Ronald plays football with another team and leaves his phone in the locker room. A football player from the other team is infected. How We Built it At this point the target is the Android mobile phones. It is built with Android Studio, by using Java and Google Firebase. Currently, there is a team of 6 highly skilled and talented people working to prepare an MVP. Challenges We ran into • Finetune the algorithm for choosing the proper location technology to store data during daily activity of the user based on various metrics (i.e. anonymity, accuracy, low power consumption, simplicity). • To cover each aspect of Privacy and sensitive data concerns (GDPR, Terms of Use, Anonymity, Encryption etc). First level discussions with various mentors on Legal departments specialised in such areas have realised in order to verify that there are no blocking issues. • To explore options for the interworking of the application with the "National Health Care System" of Greece, any other local Authority or any other country that will support this solution. Accomplishments that We are Proud of The idea won in the category "Ready to fast-track" at the Greek Hackathon (CrowdHackathon) on the weekend of 4-5 of April 2020, supported by the Attica Regional Government (Athens) and various other public sector entities. CrowdHackathon • Personal interview to Insider.gr a well-known Greek web newspaper, posted at the link below: Insider.gr • MVP ready • Collaborating with a team of 6 people, fully motivated with the idea in a very short timeframe. • Starting discussions with various mentors of Crowd Hackathon of Greece for the next steps. • Ongoing support and help from the organizers of Crowd Hackathon for the realization of the idea. End User Engagement • The more the user keeps the application updated with contacts the more protected the user will be. The moto here is: Participate in order to protect and be protected • Will boost proper precautionary measures to all people that were in close contact with persons that have been diagnosed with COVID-19 so as to reduce the spread of infection. • Will help everyone with an easy and intuitive way to be informed about the health status of user's target contacts. Value • It will be available for free and can be easily accessible. No need to go anywhere to buy it, “Stay Home” and just download it from the relevant App Store and Google Play Store. • It will save money for governments and local authorities. • A great tool in the hands of any National Health Care System. • It can be easily adapted and used by people and countries all over the world in their fight against the spread of the virus. • Yet, there is no “instant and automated tracking system” of COVID-19 promoted by EU Authorities for all the Europeans. • It can cover cases that standard location tracing approaches cannot compute. For example, there are thousands of cases and periods of time within a day where one person does not carry the mobile phone but eventually will come into close contact with other (possibly infected) people, i.e. neighbourhoods, local shops and local businesses. • It will be extremely useful not only during extreme shut down measures imposed by the governments, but also post - lockdowns . As it will be proved as the best and cost effective measure of early detection and ultimately avoid or manage a second wave of COVID-19. • It can be re-used in other contagious diseases and epidemics. What's next for COVer-U • Next steps is to present MVP at the next cycle of Crowd Hackathon of Greece. • Participate to country level Hackathon "Digital Innovation Initiatives Against COVID-19" supported from Greek Government . The process is ongoing and at this phase the submission is approved. Digital Innovation Initiatives Against COVID-19 - #GreeceVsVirus • Starting discussions with local authorities on how this application can be used and adapted accordingly. • Continue the implementation and add more features into the application. Support of iOS mobile phones will be our next target. Optional collection of statistics anonymously for plotting the spread of COVID-19. Integration also to other social applications is a part that we will also explore. Built With android android-studio firebase java Try it out covilisation.github.io

COVer-U

Mobile application for tracking COVID-19

['Apostolos Aggelopoulos', 'Konstantina Kechrologou', 'Konstantinos Ypsi', 'Aris Papadomanolakis', 'Julia Roukounaki', 'Spyros Angelopoulos']

[]

['android', 'android-studio', 'firebase', 'java']

https://devpost.com/software/purifyre

Inspiration PPE shortages can cause big issues for medical institutions and first responders, especially during a global pandemic. To help combat consumer demand of disposable PPE, reusing equipment is vital. To allow people to reuse equipment, their equipment must be safely sanitized after use. What it does Purifyre is a low-cost hardware system that sterilizes and sanitizes through UV LEDs, heated air flow, and vaporized Alcohol. It is designed to be suitable for household and medical use. The system utilizes five primary components, a heater, enclosure, UV Led array, fan, and tub of isopropyl alcohol. The hardware enclosure system is designed to be flat packable or ready-to-assemble by the end user. This allows for easier shipping and distribution. It is also designed to be manufactured out of flat sheet material, which is abundant in a variety of materials. After consulting with a few medical professionals, we have determined a basis for a sequence of operations: Dry heat 15min at 80C IPA pumped in to the tray from a small tank, Heat at 70C for 20 min, Heat to 40C for 15 min Heater off for 15min How we built it Soldering iron, wires and code. Acrylic cut via laser cutter. Container was repurposed hydroponics equipment. UV LED panel was created from UV led adhesive strips. What we learned UVC LEDs burn out What's next for Purifyre Better prototype and hopefully funding. Built With arduino c electronics python raspberry-pi uvc

Purifyre

Triple action sterilization system for PPE, clothing, and everyday products.

['Muntaser Syed', 'Chris Woodle']

[]

['arduino', 'c', 'electronics', 'python', 'raspberry-pi', 'uvc']

https://devpost.com/software/coronavirus-hotspot-tracker

HomePage Corona Form COVID Map Background Problem Page Solution Page Applications Inspiration: To combat the spread of corona-virus, many countries have imposed strict lockdowns. The goal was to limit how much people were traveling to reduce the spread of corona-virus. However, due to economic reasons many countries need to reopen business and ease restrictions. Currently many people track the amount of cases in each state and county, but we wanted a platform that could keep track and inform citizens of dangerous areas outside of their homes that they should avoid or take extra precautions around. Problem: COVID-19 is difficult to deal with because of how rapidly it can spread. The disease can be contracted either airborne or from surfaces. On surfaces, COVID-19 can last up to five to six days, which allows a person who has COVID-19 to spread it to others over a long period after they have left. So someone who is positive for coronavirus and has not identified it, can be traveling and touching surfaces at stores and restaurants leaving those who aren't infected to potentially touch the same surfaces and contract the virus. The problem we address is accounting for the travels of the person before they are confirmed as having COVID-19. Solution: We decided to build a platform that helps people visualize a more detailed view of where exactly the virus could be because the spread of the virus which occurs through air and surfaces, which makes public places like stores and restaurants danger zones. In the initial stages of this idea, we rely on everyone in the community to be doing their part and rely on the data coming from reliable sources, however with time, we plan to scale it to have only government officials report data, which we will talk about in a further section. Goal: Our goal is to give people the normality in their lives and provide relief to front line workers. How are we Different? We are different because our platform displays red zone areas and severity of the contraction of the virus, whereas other platforms notify someone if they were in contact with someone who tested positive. The ultimate goal of this platform is to make sure that people take proper precautions before going to a designated area or even avoid COVID red-zone area, thus promoting proper social distancing techniques and flattening the curve. Security and Privacy: Our platform complies with the HIPAA (Health Insurance Portability and Accountability Act) privacy policies as we do not store any health records, the individual’s name or address, and the individual’s IP address. The only data that is stored are the locations the individual has traveled to, which is self-reported. Finally, we added information on the self-reporting form to inform people the situation that is taking place. What it Does? There would be two types of users that access our platform: those who have already contracted the virus, and those who haven’t. Those who have already contracted the virus would access the website, and fill out the form with information on where they travelled in the last five days, as the virus lasts for a maximum time for five days on surfaces. Then, by updating this on the map of our platform, this would help the second type of users, those who haven’t contracted the virus, to be extra precautious of where they choose to go during this pandemic. The heatmap locations will be updated with data that is not older than six days since the virus is proven to die within that time. How we built it? We used HTML and CSS to design the homepage, which discussed the background of COVID-19. On the click of the “STOP COVID Button”, we used Flask on python to retrieve data from the HTML form and store the data within our python file. We were able to do this by creating a localhost server that connected the HTML to our python file. The python file would send a request to HTML and the HTML would send the data through an HTTP supported method of transportation “POST”, which safely sends encrypted data over the web server to the python file. We also used python to import certain packages such as the GeoCoder (translates Address to latitude and longitude), Pandas (to store data in a frame and to write to an Excel File), and Folium (to display the heatmap to represent the severity of COVID-19). Challenges we ran into: As the project progressed, we realized we had to constantly modify the initial project because of restraints we had. Due to the lack of time, we compromised certain features and focused solely on providing a fully working solution. In addition, we were not aware of how to implement many of our ideas, which required us to self teach many concepts using HTML, CSS, and Python.In Python, we had to research the most effective packages for parsing data and visualizing the map locations. We also had to learn how to create and implement a server that could secure an encrypted communication between the HTML and the python file. Accomplishments we are proud of: To create our project required more than learning about code, we had to learn to manage our time and work effectively with each other. We collaborated as a team to find a time that would work with all of us. In addition, we kept checks on each other to make sure each member was getting their deliverables completed on time. What We Learned: As a group, we learned there are so many resources out there and if we all work in unison, we can find solutions to any problem. We learned to create a working product, and that we must first identify a problem and then address it. The solution we create must be realistic and feasible. We learned the best approach is with agile principles and constantly modify the requirements to fit our goals and needs. Through this project, we learned the product we created can make a real impact on society and truly reduce the risk of contraction. Scalable Opportunities: Our project can be extended to be applied to University and Work campuses where they can supply a map of the campus and we show students and staff recent positive cases which cater to their location. For example, Stevens Institute of Technology would supply a detailed campus map to us, which in turn we would generate a heat map for them where their students and faculty can use for more specific information. The government can also adapt our platform to provide more accurate data, rather than self-reporting, by using their contact tracing team to submit the locations where COVID patients have traveled to provide more accurate data. What’s Next? We will build this platform to a commodity that every community uses. The next immediate change that we plan to do is build a secure web database using Amazon Web Services (AWS) in order to securely store the user data. In this hackathon, we had to build an excel file full of data in order to simulate a database to present our platform, however that wouldn’t be used in the final implementation of the platform. After we have a secure database for our platform, we will make the program more user-friendly. We will extend this idea to be an app for users to access so they can always check the COVID status of locations on the go easily, without having to go to the website every time. In addition, instead of the user inputting a street address, we will implement a drag and drop feature, where the user can click on the location they were at, which saves the user time to look up the street address of where they went. "Even 15 reports can save 15 lives or more." - CoronaVirus HotSpot Tracker Team Built With css excel flask folium geopy html numpy pandas python Try it out github.com

CoronaVirus HotSpot Tracker

Our platform allows people to self-report locations they traveled to prior testing positive for COVID-19 in order to pinpoint red-zone areas so people can take extra precautions in their daily lives.

['akreddy0817 Reddy', 'ahilan-subbaian Subbaian', 'Avaneesh Kolluri']

[]

['css', 'excel', 'flask', 'folium', 'geopy', 'html', 'numpy', 'pandas', 'python']

https://devpost.com/software/test-project-fej821

PreCon AR Inspiration In this current situation, people are still struggling to adapt and doing daily activities. The government enforces some rules and gives suggestions for the public, so that people can deal with this problem. But, there are many people who still underestimate the fast transmission of COVID-19, disobey the rules, ignore the advice and those who aren’t sure which shouldn’t be done, etc What it does Using Augmented Reality (AR), we made PreCon (Prevent Contagious) in order to help the public in experiencing real life situations inside AR. The app helps to educate people on how to prevent this virus from being transmitted. Inside the training simulation, people will interact with the virtual environment and learn how they should act accordingly, because the important thing is to prevent something bad from happening to us rather than try to cure it. Since all the events happen inside the virtual world, this training simulation is safe to use by everyone. Beside AR training simulation, there are still several features that PreCon have. Here all the feature of this app : AR Training Simulation. Experience real life training simulation and interact with the object inside the virtual world. Advice from WHO with easy to learn illustration step by step. AR Selfie. Take a selfie photo with a mask and face shield. COVID-19 status all around the world. Intelligent assistant to provide us some answer about everything. How I built it Unity as our main tools for making the application. Using C# Language. ARFoundation to provide the Augmented Reality technology. Postman public API. Wolfram Alpha API as Intelligent Assistant. echoAR to provide a flexibility for 3D object and real-time info update. Challenges I ran into I need to find more information about Augmented Reality also do trial and error, sometimes makes me overwhelmed. Accomplishments that I'm proud of This project actually. Somehow proud that I can be part of "helping others" in this pandemic with my own way. Especially helping medical team to prevent other people being infected. Helping people with Extended Reality technologies are something that really change the views of AR/VR/MR application. What I learned From this project, I'm more learn new things about AR, how to solve problem, how to adapt to the new things, also more exploring about COVID19 also for my self I'm learning more about what should we do and should't. More exploring some advice for being healthy during this pandemic. Also learn about how to integrate my application with Wolfram and echoAR system. What's next for test project Adding more training case inside the current application. Also if we can really continue with this project, we maybe will try to do Virtual Reality Training Simulation, so it can be more immersive to do a training. Built With android api arcore arfoundation c# echoar speech-recognition unity-technologies wolfram-technologies Try it out precon.rgplays.com

PreCon (Prevent Contagious) AR - AR Training Simulation

Educate people using Augmented Reality, more like training simulation about how to react to this current situation, to keep them healthy by give them example, virtually. This way can be more safety.

['Maynard Lumiu', 'Steven Sean', 'Mario P']

['2nd Place', 'The Wolfram Award', 'Best Project using echoAR']

['android', 'api', 'arcore', 'arfoundation', 'c#', 'echoar', 'speech-recognition', 'unity-technologies', 'wolfram-technologies']

https://devpost.com/software/learning-curve-d2geat

Inspiration COVID-19 has impacted how education is provided for students. As classes move online, students lose the necessary qualities of traditional learning. While there are online tools, such as Khan Academy and BrainPop, that serve as educational resources for students, they fail to provide the proper interaction and flexibility necessary in keeping students engaged. Our team wanted to create an interactive enrichment platform for students to supplement their education and help fill the gaps created by this pandemic. What it does We have designed an interactive platform for students to supplement and enrich their education. We also provide a social platform for students to interact with their friends and tutors to improve the lack of social interaction resulting from the pandemic. We also provide encouragement and resources for students to pursue extracurricular activities to allow them to express themselves in a fun and creative manner. How we built it We divided the work into two teams. The first team performed extensive research on grade-specific curricula and created study plans for students. Moreover, this team provided most of the information presented on the website. The second team implemented this information into the website and executed the majority of the technical work involved with developing the website. This team also improved designs made by the first team to make them more feasible for the platform. Challenges we ran into One major challenge we ran into is how to make the platform interactive and fun for students. To combat this, we tried to give each student as much freedom as possible in terms of the subjects they choose and how long they spend on it. Also, we allowed for sessions where students can work together with their friends. Accomplishments that we’re proud of We are proud that we are able to provide a platform that improves the educational and social deficits that result from the coronavirus pandemic. Our Tech Lead, Bryan Kyritz, recently developed a video-chatting forum, called Secure Meeting, with similar features as Zoom. Though the platform was made before the hackathon, Bryan implemented significant changes to make the website more user-friendly, such as chatting, video controls, etc. Our study plan curricula also integrate the importance of mental health and activities they can work on at home! What we learned As Learning Curve, we targeted one of the fundamental challenges of the post-pandemic era, education cap. COVID-19 is bound to promote social reconstruction of society, and though there are plenty of resources available, such as Khan Academy and Brain Pop, there is a lack of a platform which integrates all the resources in a cohesive manner. Therefore, we learned that if we can provide them with customizable resources and a little bit of constructive competitions, the students will be motivated to continue their education during the post-pandemic era. What’s next for Learning Curve In the future, we plan to allow high school students to sign up as tutors to gain volunteer hours hours by hosting tutoring sessions and make study plans for their students for their college applications.We also plan to extend our partnership with local institutions, such as libraries, as they generally host events to educate children from K-12. Built With MongoDB, Express.js, React, Node.js Built With express.js mongodb node.js react Try it out www.learningcurve.school

Learning Curve

Our mission is to provide K-12 students with an interactive and yet enriching platform to supplement their educational and social gap as a result of pandemic.

['dannyykimball Kimball', 'Bryan Kyritz']

[]

['express.js', 'mongodb', 'node.js', 'react']

https://devpost.com/software/covid-19-rescue

This is screen shot of the Corona Relief App Running on Microsoft PowerPlatform Inspiration I saw that many people who are poor or belongs to middle class families are facing Food Scarcity due to this Covid-19 Pandemic because their income source is stopped due to the Lockdown. There are many pregnants women, children, old aged people who are facing the same situation and they cannot afford food for them because they are in short of money and they are helpless. I saw that many organizations are helping these kinds of people by are taking live call in Television Channels to address people problems and helping as they require. Only one calls can be taken at a time on a live television. Also, there will be problem of network Busy and those organizations cant reach many people in this way. So I thought to develop and application so that people can report their problem and the organizations will get to know about the problem and help them as they need. What it does Basically my app minimizes and speeds up the process of addressing people Problem so that their problems can be fixed as soon as possible in this Pandemic. So when the app runs, user will enter their name and they need to choose whether they want to request for Food Help(Basic Need Relief) or Corona Check(this is additional feature added in app) When they choose the Food Help or Basic Need Relief then they will be asked with several questions such as total family member, no of pregnant women, kids, old aged, and remaining food stock, and also a option to send an attachment. Whereas, when people will choose the option for corona check then they will be asked with several questions like gender, what the symptoms seen on person so you are checking corona, has he came from abroad or not and so on.. . Now, When the user will submit this information then these data will be recorded in Microsoft Sharepoint where the admin or the organization can view the problems or people along with the GPS CORDINATES and Date that will be automatically sent while submitting the problem inside the app. Then from this information, the organization can directly go with the necessary relief to the needed families using the GPS Cordinates that is sent while submitting the app How I built it I built it using the Microsoft Power Platform Challenges I ran into I had learnt some Flutter. And I was trying to make this app using Flutter but my laptop got some ransomware and i lost my everything and I reformatted it again and installed flutter. I did made the forms but the conditional things, GPS Location and so on was very complex for me as I am beginner to Flutter. And learning everyconcepts from the beginning and developing the app would really be difficult and time consuming. Then I heard about Microsoft Power Apps, I already had and idea and I just needed to implement it properly so I started learning Microsoft PowerApps and I tried to bring my idea to life. Using PowerPlatform also I had some Difficulties in Conditional Forms for Corona Check and Basic Need Relif. But finally I figured it our after couple of research. Accomplishments that I'm proud of I don t know that the project I have made will be used by some organizations that are really doing these kinds of Relief Programmes but I think this app will really be helpful for them because if they can address many people problems in less time then they can provide reliefs to many people as possible and poor and needy people as well as middle class people who are deprived of food, pregnant womens, kids who are not getting nutritious food due to the Covid-19 Pandemic and lock down in the country will get relief and should not die out of hunger. Because we dont t know how long this Pandemic is going to take place. What I learned I was complete beginner to Microsoft Power Platform. But I had an idea that must be implemented to help people so I started learning by heart and got to know many things about the Microsoft Power Apps and I think it also increased my creative skills and logical thinking capacity. What's next for Covid-19 Rescue Currently this app can be run under the Microsoft PowerPlatform only but it needs to be platform-independent. So I am planning to make it platform independent very soon if I will get some good mentors to support my project.I have also planned many other features in this app that can be really beneficial and helpful for the people facing Covid-19 Pandemic. I think this kinds of apps must be developed to address poor people`s problem who can be helped by the person who can help them. Problem sending app demo link Since it is dependent on Microsoft PowerPlatform. I require your email to show you this app. It must be opened within Microsoft Power Platform so i couldnot send the link but i have sent image on how it looks when the app is running and demo video for working of the app. Built With powerplatform

Corona Relief

My idea is to let the poor and middle class families get chance to request food help as well as Corona Check within the app so the helping organizations or teams can reach them with the solutions.

['Naseeb Dangi']

['The Wolfram Award']

['powerplatform']

https://devpost.com/software/vox-of-life

Sign Up Time to Talk Notification Text Confirmation Voxers on call Wireframe People are by nature social creatures. These past few months of having to isolate and distance yourself from others has been extremely difficult, both physically and mentally. In today’s world, communication and social contact are a huge part of daily life, larger than they have ever been before. This situation happened so quickly, and it may continue indefinitely. We believe that one can abide by the ‘new normal’ and still maintain social contact by using Vox of Life. In Latin, the word ‘vox’ means ‘voice’. Vox of Life strives to be the ‘voice’ that can be used to initiate, maintain and communicate with others in a safe, controlled environment by the use of the Vox of Life app. The Vox of Life is an opportunity to socialize with others with the same interests, hobbies in you choose, or with someone else who may just need to talk and hear another human voice. What are you interested in accomplishing? What might be reasonable to accomplish? Encourage spontaneous meaningful interactions between all walks of life Reduce impact of social isolation Make conversing with new people comfortable Encouraging extroversion in a time where we’re all distanced Is this something you want to do within the timeframe of the hackathon only, or are you interested in working on this after the 12th? The effects of COVID-19 are far reaching, and mitigating the effects of social isolation is our goal. We believe we can do this by connecting new people on 1:1 phone calls to meet new walks of life. Even after the curve is flattened and social interaction becomes safer, we will be transitioning our efforts to continue reducing the impact of social isolation, and creating ways for improved communication between individuals and groups. What is your bandwidth to contribute? We, the members of this team, are extremely passionate about our mission and are currently balancing this initiative with full time professions. We are capable of supporting this initiative but are seeking support to ensure our mission continues to have a greater impact. Who is on your team? Please describe your background and why you’re the right person/team to work on your idea. Magus Software Engineer Design thinker Social enterprise enthusiast Right person: I like to make things, and also love to make things better.I aspire to work and make products that can create lasting social impacts globally Shiv Client facing Biomedical engineer Health focused Right person: I desire to make an impact that can positively affect people and improve the way people see the world and others Sam Marketing Specialist Client facing Right person: I have a desire to network with others and get to know other people and Vox of Life is heavily geared toward networking Patrick Full stack developer Highly competent in multiple technologies Right person: I am not a fungus, I am a fun guy and I like building fun tech Inspiration Vox of Life was inspired after noticing heavy the toll self-isolation was putting on the mental health of friends and closed ones. Social distancing and self-isolation don't have to mean loneliness and silence. VOL's on the mission to encourage people to have meaningful social interactions, while still practicing safe social distancing. We enable this by pairing different walks of life to each other through just a voice call and simply by the time they both are available. Built To rapidly execute on this mission, the proof of concept initially was "pretotyped" with a combination of traditional software engineering frameworks (NodeJS/Nest) and even no-code tools (Zapier, Airtable, Wix). We used NestJS to build our matching algorithm and backend server, and used the no code tools to build our frontend. The first prototype was complete in the first half of a weekend, and the private beta started the very next day. A lot was learned from our testers and the project went through multiple iterations over the course of the trial very quickly. Challenges Initially, VOL calls only worked over the web on desktops. Multiple testers provided feedback to make it also accessible over their mobile devices. In less than a week's time, the testers were able to dial-in to their calls. Future Nursing Homes Build relations with nursing homes, to allow the isolated elders to have one on one calls with volunteers Slack Integration for Slack, where users can have spontaneous one on one interactions with in their existing communities Built With airtable html javascript nestjs sendgrid twilio typeform wix zapier Try it out voxoflife.com instagram.com github.com

Vox of Life

VOL encourages people to have meaningful social interactions, while still practicing safe social distancing. We enable this by pairing different walks of life to each other through just voice.

['Magus Pereira', 'Patrick Luy']

[]

['airtable', 'html', 'javascript', 'nestjs', 'sendgrid', 'twilio', 'typeform', 'wix', 'zapier']

https://devpost.com/software/trachio

Trachio Logo. Inspiration As we can tell by an enormously growing infection rate, it's important that we diagnose potential symptoms of COVID-19 and communicate with our local health departments. What it does Trachio is a web app that allows you to upload spectrograms of a patient’s lung sounds in order to diagnose and report potential symptoms of COVID-19 to one’s local health department. How I built it I created a Flask backend that communicates with a dynamic HTML/CSS frontend, which allows you to upload audio spectrograms. A classification is made through the Google AutoML Vision API and returned to display potential symptoms on the frontend. There is also a feature that allows you to quickly contact local health authorities via email, which is plain HTML. Challenges I ran into Of course, getting Google Cloud authentication to work properly was a hassle. Also, I was a bit slow to develop because I had never used Flask before. Accomplishments that I'm proud of But regardless, I'm really proud of how many tools I learned to use in the past 24 hours. I dared myself to go solo and I feel like it paid off for my own learning. What I learned Basically the entirety of Flask, and servers in general. What's next for Trachio Improve the model's accuracy, and make the frontend prettier. Built With css3 flask html5 keras python teachable-machine tensorflow Try it out github.com

Trachio

A web app that can hear potential symptoms of COVID-19 in your breathing and report them to your local health department.

['Borna Sadeghi']

[]

['css3', 'flask', 'html5', 'keras', 'python', 'teachable-machine', 'tensorflow']

https://devpost.com/software/obskill

Inspiration Due to COVID-19, one of us lost our own internship for the Summer of 2020. Many of our peers have felt a similar effect. With access to a large student network and large company network, we felt the need to give both sides support by joining the two. Some businesses are struggling to adapt to the new remote work style. We first hand noticed interns being paid for 40-hour work weeks when because of the new remote style, they were only working half of that. We began to question if it was worth it for businesses to continue the same pay-rate for internships, with a drastically decreased rate of productivity. The answer is it’s not. The internship program has to adapt as well. What it does To provide a route for the internship program to adapt, we encourage companies to host workshops for students to work on. These workshops are short term company-student interactions that can last anywhere from a week to three months. The website is currently functioning to connect students to employers to continue career development in this remote manner. By organizing these opportunities into workshops, it is allowing us to track the level of work being completed by students. This allows the rest of the industry to see some evidence of how well students can work in a remote environment. This opens relationships and opportunities on both sides for the brighter future. How we built it The original site was launched as an online survey to collect interest through a wordpress site. We hosted the site through AWS servers. As interest expanded, we focused more on the improvement of the wordpress website. All the back-end work was being done by hand, such as organizing user data and matching students to positions posted by companies. For the hack-a-thon we focused on creating our prototype in figma to better explain our vision for ObSkill and the benefits it can bring. Challenges we ran into A major challenge we ran into was not having a full stack developer join our team. This caused us to have a main focus on creating a front-end prototype in figma. This allowed us to plan out all of the site functions, preparing us for the future of working with a full stack development team. These challenges are occurring because of the growth of our idea, as more students and companies sign up it is becoming harder to run without the process automated. Accomplishments that we're proud of We are proud of how the prototype came out. We feel it is a great representation of the first phase of ObSkill. We are also proud of the fact that we have already assisted a handful of students in getting connected to opportunities for this summer. The positive feedback from the students and companies is what keeps us going with the further development of this idea. What we learned We learned about the difficulties of bringing our ideas to reality. Our initial idea of making this platform through wordpress was unrealistic, and now we understand all the planning and mock-ups required for a successful website. As two students without web design experience, we had to quickly teach ourselves tools such as wordpress and figma to portray our idea. We now know the importance of getting a strong back end development to improve ObSkill for the future. What's next for ObSkill Our immediate goal is to create or find a developing team that can help us create an automated web application based off of the figma mock up we created. We are reaching out to more companies that could use our assistance while the number of students on the platform grows. We plan to launch an updated version this summer with an automated back end, thus allowing us to support and benefit more students and companies moving forward. Built With figma wordpress Try it out obskill.com www.figma.com

ObSkill

To assist both our users and companies in recreating internship programs to enable students to determine their field of interest while gaining experience in a remote and efficient manner.

['Justin Murray', 'mike hopwood']

[]

['figma', 'wordpress']

https://devpost.com/software/c-trac-app-for-tracking-corona-hotspots

Inspiration During this current COVID 19 pandemic, I see health worker is curing the patients, doctors are innovating new medicine, the police is controlling the crowd movement and even bus drivers are helping people to get back to home. As a future engineer, I felt like my contribution is none, so I felt motivated to do my part and try to bring a positive change and to make sure my product can also be used in a future pandemic. problem our project solves we all can agree that this pandemic needs to overs soon so as we can meet our loved ones, in order to contain this pandemic, the government is using CONTACT TRACING APPS ( CTAs ). Research says if contact tracing is done correctly it can reduce the number of case 3 folds, then why the number is still rising? , the problem with these CTAs is they only tell whether you have come in contact with an infected person or not, what it doesn't tell us that from where the person caught the infection ( the parent source ). let's take an example if there are two-person 'X' and 'Y' and Y got infected then X will get notified by the current CTAs that he might have got an infection as he came in contact with Y, but it doesn't tell from Which PLACE y got the infection, this is crucial as if we don,t find out that PLACE then many other people who had visited that PLACE may get the infection. what our project does Our project C-TRACK 1st of it's kind of reverse contact tracing app, so let me explain how Reverse contact tracing works, whenever the user visits a place too frequently like a shopping mall. then that particular location will be saved inside the app and if in future user found COVID +ve then we can track down that shopping mall, the app will also send a notification to all over people who have visited that exact shopping mall, now health authorities can sanitize and lockdown that specific shopping mall instead of locking down the whole locality. the location stored is fully encrypted and can only be accessed by the user. it also has two additional feature 1.) it sends 'wear mask ' notification when the user leaves then house and 'wash hand' notification when the user returns the house, this small precaution can bring a huge change by keeping you and everyone around you safe. 2.) whenever the user enters a government certificated hotspot or RedZone he will get a warning notification Challenges I ran into 1,) we lack financial support as we have to make this app from scratch. 2.) the problem in collecting data regarding government-certified hotspot and also we have to do a lot of research regarding the spread pattern of COVID-19. 3.) It was hard for us to get in contact with health workers as they were busy fighting an increasing number of patients so we have to talk to retired doctors. 4.) It took us too long to use it in real-time as during lockdown it was too hard to go outside in the quarantine but finally, after lockdown loosens a bit we tested it and it gave an excellent result. What I learned All team members of C-TRACK were able to grow their area of competence by participating in the whole process of idea definition, market research, validation, prototyping, and presentation. Through different mentor sessions, we learned that problems could be approached by many means, but most importantly our mission should be clear. What's next for C - TRAC App for tracking corona hotspots our app can be used for a future pandemic or seasonal diseases such as swine flu or bird flu. Built With android android-studio java

C - TRACK 1st ever reverse contact tracing App

Our app is 1st reverse contact tracing app which locate the possible hotspots from the user location history and also 1st safety awareness system which notify user to ( wear mask ) and ( wash hand).

['Anup Paikaray', 'Arnab Paikaray']

[]

['android', 'android-studio', 'java']

https://devpost.com/software/covid-oversight

Details SS1 SS2 SS3 Inspiration Let's consider the story of Chris. He is still under lockdown and he is worried about his health. Currently he is not aware of the risky areas surrounding him. So he cannot leave his home to visit the local grocery store (which he prefers to buy from over online stores) without panicking. Also he fears he might take a route through a region infected with the virus which can affect him as well. And even if he reaches the store safely, he might be faced with a crowd which doesn’t maintain social distancing; and even if they do so, they all come at the same time leading to long queues. Even after all this, there is still a chance that he might be affected but asymptomatic and he might further infect others as he might be unaware of whether he had been in contact with anyone before. What it does COVID-Oversight tries to mitigate the above problems with a one-stop solution for visualizing local risky areas, finding safe stores and safer routes for visiting them, creating systematic queues for reducing delays and a case reporting mechanism for leveraging crowd-sourced data to map the crisis and protect one and all How I built it Here maps, Twilio API, IBM Cloudant, IBM Cloud Foundry, Postman Accomplishments that I'm proud of Completed the hack in under 24 hours Created an end-to-end communication, reporting, and verification system What I learned Apllication of Twilio and Postman Cloud hosting What's next for COVID-Oversight ● Integrate chatbot inside the web app ● Use IBM Watson API for further diagnosis on chatbot ● Use IBM Watson Studio to design a forecasting algorithm for better queue management and COVID spread ● Use Here Maps geofencing API and Twilio Notify API to alert users when they enter risky areas Built With flask here-geocoder here-map-image ibm postgresql postman python twilio Try it out github.com

COVID-Oversight (Team OopsIDidItAgain)

COVID-Oversight tries to mitigate the above problems with a one-stop solution for battling Covid-19

['Saumo Pal']

[]

['flask', 'here-geocoder', 'here-map-image', 'ibm', 'postgresql', 'postman', 'python', 'twilio']

https://devpost.com/software/uncle-jon-gatekeeper-a-i-powered-digital-guard-u7c5kl

Homepage Uncle Jon issuing Digital ID Office Locator on Map Office Reception Get Issued ID Nearby COVID-19 Clusters From Office Coffee Break Nutritionist Room HR Mary Live Call With HR Leave Alert Uncle Jon: A.I powered Gatekeeper As coronavirus recedes, companies will have a daunting challenge to choose which employees work from home and who come to the office. Is there a solution to this problem? Yes, Uncle Jon has an idea! He suggests that each employee will have to take an A.I powered test which will evaluate how likely they are to be affected by COVID-19. Then, based on the results of the diagnosis test and the position of the employee in the company hierarchy, Uncle Jon will automatically suggest which employees should be called to the office and how they must be seated. These results will be shared with the HR team who can then modify it as per their needs. Uncle Jon will issue a digital identity card to the employees who have to come to the office. The identity card would generate a token id, which the employee would have to enter at the office gate. The identity card would be valid for 7 days, post which the employee will have to take the A.I based test again to validate their health. That’s Uncle Jon. The most exciting features of Uncle Jon Gatekeeper that we have developed are: Automated A.I based realtime communication between Uncle Jon and the employee Generation of unique digital ID with the associated risk factor Companies can decide which employees work from home and which employees can visit the office Offices and workplaces can list their locations in a realtime map In-built one-on-one and group audio and video calls Nearest COVID-19 hotspot locator so employees can plan the best routes to stay safe Automated H.R Mary to help the employees on general issues and set up appointments Coffee Break Room where employees can relax and calm to increase their productivity during the break hours Nutritionist Room, which has a customized diet plan based on body parameters Main Idea: This test segregates to ensure that high priority cases work from home, while the low priority cases come at the office. Built With backend css3 html5 javascript machine-learning mongodb tensorflow Try it out github.com www.unclejon.xyz

Uncle Jon Gatekeeper - A.I Powered Digital Guard

A web-based automated security guard for acting as a gatekeeper for the company and their offices to monitor incoming visitors and check whether they are Coronavirus free.

[]

[]

['backend', 'css3', 'html5', 'javascript', 'machine-learning', 'mongodb', 'tensorflow']

https://devpost.com/software/corono-info-corner-amvh0p

Symptoms checker Navigation over features Front page of app ...email icon for emergency email contact Website containing all the covid details and hospital near me feature. Helpline number Donation FAQ's issued by government Locates nearby hospital from current user location(nearest) Fake news reporter Friendly chatbot Inspiration Nobody wants to keep separate apps to access necessary functionality during the time of emergency. There are 100’s of useful apps to help us through this time of turmoil, What if we had many such useful features on the same app? This is exactly what our app gives the user features that might come in handy for What it does These are few features we have worked on Daily Use: Fake news Verification: With the number of rumours making rounds on the internet , it is important to be informed about the news that is fake. The app allows you to view the fake news and also to report the news that might be fake, The reported news will be cross verified by the authorities before being uploaded. Shops trackers: Since it is difficult for the people to go outside and buy groceries .Using our app, we redirect it to some online groceries facilities like BigBasket, who will deliver at your doorstep with no contact delivery. Emergency: Hospital tracker: The location and the distance of the closest hospital is provided to the user. Using the existing map data from openstreetmap (an open source world map). The information from the GPS of the user's device along with the location of the hospitals on the maps allows for seamless navigation. Symptoms check: A Questionnaire is given to the user based on which an assessment of vulnerability to corona is provided. This is not a complete proof of corona, the app will only recommend the user to consult a doctor if they are vulnerable to corona virus. Helpline: A list of all the helpline numbers in India can be found here. Miscellaneous: Corona cases tracker: Graphical representation of the overall effect of the virus on a country wide scale with complete analytics of the same. Keeping the user well informed of their situation with easy to understand dynamic interface. FAQ’s: The most commonly asked questions and important news related to corona virus. Donation: A direct portal to donate to the PM cares fund through any UPI app of your choice. Queries: An easy way to send your queries to the official government body that is dealing with the virus Chatbot: To answer all the queries regarding the FAQ’s . How I built it Android studio: To develop the app and test it. HTML: For the webpage layout CSS: Cascading Style Sheets is a style sheet language used for describing the presentation of a document written in HTML Google JavaScript maps API: For location of the user. JavaScript: To get the distance and direction between user and hospital and to process as required .To make the web application dynamic and user friendly. Chatbot which answers all the queries regarding corono virus is implemented All are accessed within a single app with multiple use Challenges I ran into Google had temporary stopped the new registration for google cloud .So we had to implement using the open source API' s which were available. Few errors while creating GUI for android app Accomplishments that I'm proud of Within this short duration we were able to come up with an app with all the features required for a common person.The whole team played the important role in achieving such a big task. Link for website: https://covid-19iit.000webhostapp.com/ What I learned Team work how to split up the work and complete the task within the given deadline What's next for Corono info corner So in the future we are trying to integrate a feature where the cop can use his mobile camera to check the social distancing in the public area Also helping the cops to track the people quarantined in the house. Put the app on Playstore and App store. Built With android android-studio css firebase html5 java javascript Try it out github.com

Corono info corner

Our application aims to bring all the possible utilities and quench the curiosity of the people , while under lockdown due to corona under one platform.

['rakshit ks', 'PRATEEK JANAJ', 'Amogh Kuruwatti']

[]

['android', 'android-studio', 'css', 'firebase', 'html5', 'java', 'javascript']

https://devpost.com/software/countthepeople

Inspiration People are still gathering in mass despite the social distancing order to prevent COVID-19 spread. What it does From the CCTV cameras, relevant authorities can know if an area is not being crowded with people. It can be used as a crowd monitoring tool to detect large crowd gatherings. How I built it GluonCV AI/ML can detect objects such as people from an image. Therefore we can count the density of people in an area being monitored. Challenges I ran into Legality to get publicly available CCTV footage. Accomplishments that I'm proud of What I learned Need to complete AWS Computer Vision: Getting Started with GluonCV from CourseRA. What's next for CountThePeople Learn how to improve the algorithm to calculate the distance between detected people. Built With bootstrap gluoncv mxnet php python s3 sagemaker

CountThePeople

Social Distancing becomes the main preventative action to prevent the spread of COVID-19. With GluonCV YOLO3 detecting people then count it, we can know if a place is not crowded.

['Ronald Simon']

[]

['bootstrap', 'gluoncv', 'mxnet', 'php', 'python', 's3', 'sagemaker']

https://devpost.com/software/informavirus-9cnxek

Symptoms Screen Heat Map Zoomed Heat Map Inspiration We noticed the importance of tracking cases when it comes to illnesses such as Covid-19 or influenza. This information can be used for allocating supplies to hospitals and mandating certain policies. The current way to do track cases is to look at the number of people who have tested positive for the virus. This relies on an abundance of accurate tests. Another way we could get a grasp of trends of illnesses through a population is to use what everyone has: a phone. People may not know what illness they have, but they will know what symptoms they have. With this data, we can create a real time visual representation of spreading illnesses, and we can figure out what symptoms are correlated with which illness. This visualization will also provide public awareness in regards to the importance of sanitation. What it does it do Users log into Informavirus and are immediately prompted to click "yes" or "no" for whether they have a specific symptom, like a fever or cough. If they click yes for a symptom, their location will start being tracked and plotted on a heat map that corresponds to that symptom. After checking all of the symptoms, they will be directed to a page with a heat map for each symptom. Users can't see the map until they check the symptoms they have. Seeing the map is the incentive for checking their symptoms. They will be tracked until they either go back into the app and check "no" on the symptom or the average duration of the symptom has elapsed. We understand that everyone with a symptom will likely not report it, but the goal of Informavirus is to see general trends, not specific numbers. How I built it Informavirus was designed as a web and IOS app, using the Quasar framework (using Vue.js), as well as the related VueX and VueRouter for the multipage and state-management functionality. Google Firebase is used to securely store user data (username and password), as well as location data. We designed the application to be as secure as possible - the location data is linked with their user ID, and can only be retrieved if the user decides that they would like to retrieve the data. Challenges I ran into One challenge was deciding how to structure our database. We wanted to ensure privacy for the users but also maximize the data's usefulness. If we attached each user's coordinates to that user's node, then it would be easy to delete that user's coordinates if we no longer wanted to track them, but having the user's coordinates attached to that user would be a risk to the user's privacy. Instead, we used two separate nodes, one with all of the users and one with all of the coordinates. We then attach the user's random ID to their coordinates in the other node as a way to deal with specific users' data. Accomplishments that I'm proud of I am proud of making an app that is very easy for users to use. If an app like this isn't easy to use, even with the incentive of seeing the map in the end, it wouldn't be likely that people would use it. The idea was to make a simple, clean app, and I think we accomplished that. What I learned I learned how important database structure is, and I learned that it will pay off greatly if things like database structure and overall structure of the app are planned before its creation. I also learned how important communication between team members is when working on a projects that has so many moving parts. Communication allows for more efficiency and a better product in the end. What's next for Informavirus Of course, since we only had a couple of days to get the project up, we had to compromise with our functionality. There are features that we want to add, but have not had the time to, such as merging symptoms onto one heatmap, using different colors to denote each symptom, as well implementing an algorithm that can use machine learning to see what areas are more likely to become "hot-spots" for the virus. Another functionality that we plan to implement after this algorithm is a method in which the application can send the results of the machine learning algorithms to the nearest hospitals, alerting them if there are more cases that may pop up. Of course, there would be some statistical analysis involved, as there are no perfect predictions, but if we are able to get even the slightest prediction, the extra preparation could be of help in the future. We also understand that for Informavirus to operate effectively, we need as large a user base as possible. So it may be most effective to team up with a company that already has a user base and a reason to attract users, like a social media app. Built With css3 firebase geolocationapi html5 javascript vuegoogleheatmap vuegooglemaps vuejs vuerouter vuex Try it out github.com

Informavirus

Imagine seeing trends of illness in populations before testing or hospital visits occur. A user-friendly app that tracks users based off their symptoms, if any, and plots those points on a heat map.

['John Wang', 'Daniel Schwartz']

[]

['css3', 'firebase', 'geolocationapi', 'html5', 'javascript', 'vuegoogleheatmap', 'vuegooglemaps', 'vuejs', 'vuerouter', 'vuex']

https://devpost.com/software/grocial-distancing

Inspiration: A lot of small retailers are going bankrupt because they were not prepared for the long-term shutdown. However, if more grocery stores are allowed to reopen, they might cause another coronavirus outbreak. Therefore, we wanted to create a tool that will help stores plan reopening while providing shoppers with a safe shopping environment as a part of getting back to their normal lives. What it does: Our application evaluates the infectivity of COVID-19 in a store based on its layout and other high-impact parameters. Store managers can simulate and test different layouts of their stores to maximize capacity and minimize infectivity. The app also provides shoppers with information such as infectivity and the safe capacity limit so that they can make informed decisions about their shopping behaviors. How we built it: The Grocial Distancing demo was built using standard web technologies, including HTML, CSS, and JavaScript. No third-party software libraries were used. Challenges we ran into: One challenge was deciding which features would be available to the customer and store owner user bases. Initially, we planned that users would only be able to see layouts made by managers; these interactions would be overseen by an account system. However, for simplicity, all features were ultimately given to all users, including full editor and simulator capabilities. Another challenge found during design was selecting a pathfinding algorithm for implementation. We performed some research on pathfinding methods, but ultimately, we chose a light-weight approach with smoothed A*. Although this algorithm served well in the current implementation, we may need to reconsider in the future to add deeper features like customer collisions and hard wall collisions. Accomplishments that we're proud of: We successfully implemented pathfinding and goal searching in our canvas layout. We also provided a relative metric of the infectivity of various layouts given the map and customer parameters. Finally, we implemented a intuitive model for COVID spread by measuring customer distances and increasing infectivity with less distance. From our product planning, we believe that these features should help store owners and users gain insight about shopping in the wake of COVID. What we learned: Academic models for the spread of COVID-19 are fairly simple, while simulation outcomes return intuitive results. Even an uncomplicated model can identify potential patterns and issues. What's next for Grocial Distancing: A key point of future development will be increasing the realism of the simulation. For example, the infection algorithm could change based on research of COVID spread. Further, with more development time, customer movement could be altered to detect collisions and interact more realistically with goals and other customers. Lastly, we also hope to coordinate Grocial Distancing with other utilities, such as Google services and data from app users. These developments could also see the return of the account system. Built With css html javascript Try it out github.com

Grocial Distancing

Grocial Distancing allows store managers to simulate the infectivity of the coronavirus in their stores and to design new store layouts with high capacity and low infectivity.

['Tan Dao', 'Yiding Yang', 'Jordan883 Fernandes', 'alanrempel95 Rempel', 'Dongrun Ju']

[]

['css', 'html', 'javascript']

https://devpost.com/software/ibm__hackathon__troubleshooters

Inspiration What it does How we built it Challenges we ran into Lots of Challenges Accomplishments that we're proud of What we learned What's next for MEDICO Built With css deeplearning django html image-processing javascript postgresql python rasa tensorflow

a

a

['Jayit Saha', 'Ishita Dasgupta']

[]

['css', 'deeplearning', 'django', 'html', 'image-processing', 'javascript', 'postgresql', 'python', 'rasa', 'tensorflow']

https://devpost.com/software/cybermike-2

App Screenshot Facebook page banner Inspiration Flash applet at https://albinoblacksheep.com/flash/mike is no longer compatible today. So I decided to continue the project in another way. What it does Provides a self help decision path for persons with suicidal or murderous tendencies. How I built it Made it using Chatfuel. Challenges I ran into Initially was supposed to use Dialogflow / Botman framework, however there are logistical difficulties in getting them to communicate with the Messenger platform properly. With time running out, the prototype was made using Chatfuel. Chat also got stuck on the first message. Did not realise that the setting in the Facebook page Messenger platform section had an option for 1st contact message that needed to be set to the Chatfuel. Accomplishments that I'm proud of The bot working properly. What I learned Using Chatfuel, linking up the Facebook Messenger platform to the proper App so that it can communicate well and not get stuck on the first message. What's next for CyberMike 2 Expanding using natural langauge processing and having more menu options with a friendlier conversational interface. Shift back to using Dialogflow due to its built-in machine learning and natural language processing. Built With chatfuel facebook facebook-chat facebook-messenger html5 messenger Try it out m.me www.facebook.com

CyberMike 2

A self help chatbot to direct persons with suicidal tendencies to relevant entities or persons or help resolve the issue.

['Salocin.TEN .']

[]

['chatfuel', 'facebook', 'facebook-chat', 'facebook-messenger', 'html5', 'messenger']

https://devpost.com/software/virtual-malls

All shops in a shopping mall Take Away Store App (Side) All Shoping Malls Take Away App Products in the shops Inspiration Being under lockdown alone has triggered hunger and anger in some nations as we observe the WHO recommendation to national governments. However, the lockdown state affects a number of things including crippling of the economy, increase in domestic violence, hunger, depriving populations of basic needs among others. To help maintain global recommendations as well as ensuring basics are accessible to people, innovative ways, mechanisms and approaches are required to counteract the insurgency, maintaining peace and sustained lives like providing access to basics including also food and health necessities. The Takeaway application under pilot since the 20th of March, 2020 is in the market aiding solutions that liberate populations with facilities that support online ordering and delivery of basics, as they reduce contact as much as possible. To date, looking for a given product from the shopping malls in Uganda is a hectic and tiresome endeavour as you have to move from shop to another, initially to get an idea of the price and also to look for the product. This is time-consuming for customers. To overcome this many customers, go to the well-established super markets as these have organized sections and prices for the items. This, however, implies that the small shops in the same malls are always outcompeted and fail to see their 4th birthday. This platform empowers small and medium enterprises to advertise what they have. Someone can move directly from their offices and go to the ground floor in a small shop “xx” in the shopping mall “yy” to get the product he/she has identified from our platform. His/her can also use the Takeaway app so that everything is delivered to them. What it does Virtual Malls provides the public with access to any malls, navigate each, mall and order for any item from their favourite shops in any mall. Virtual malls specifically perform 2 major functions. Navigation through shopping malls ( http://globalautosystem.pythonanywhere.com/ ) – The platform has a web and mobile version that enables any one to navigate through every shopping mall, check for any particular shop of item from the shops. The mall's platform also helps the mall's manager to keep track of his tenants and also empower the tenants to set up virtual shops. Take Away App – Takeaway is a mobile application based on the android platform that enables people living in Mbarara and neighbouring districts to order and receive desired products at the comfort in their homes. The innovation is a liberating application developed for people of all kind including the youth, the old and the young. As a self-service application, Takeaway is innovatively modelled with theories of design thinking. It includes 4 core modules that realistically operative as a single coherent system. Distributed-wise, Takeaway is built with the aim of observing total social distance and avoiding all forms of contact at all levels as we fight the COVID-19 pandemic. Its core modules include: - (1) UX ( https://play.google.com/store/apps/details?id=ug.global.takeaway ) module utilized for making orders of products like Personal Protective Equipment (PPE) directly from stores and receive the products through our trained deliverers; (2) Admin module is used administering of orders as they come in. In its simplest form, store owners on the app use it to register and approve stores, deliverers, and monitor the transaction process; (3) the store module( https://play.google.com/store/apps/details?id=ug.global.jubustore ) for managing and coordinating store functions including stocking and stocking level monitor, enabling store agents, for example, pharmacies to add their product/s with pricing, receive orders and deliver the orders; (4) and lastly the delivery module used by delivering agents like Boda-Boda deliverers whenever they get orders near to them for delivery and delivery confirmation. The delivery module algorithm allows for searching for the nearest deliverer to the order source, enabling them to receive orders from a store, pick the package and deliver it to the shown address. With the UX module interacts with the delivery module delivery confirmation through displaying a barcode on delivery that a user scans at the end of the transaction. How I built it First of all the platform is being developed using the concepts of social-technical systems where we recognize the interaction between people and technology in workplaces. Furthermore, the concept of design thinking is driving the design process where the end-users are at the centre of the design. Our platform is an all in one integrated platform comprising of a shopping mall information management system managed by the mall administrator who gives tenants’ rights to initiate their own instance of an online shop, inventory management and website. The platform has both a web and mobile application version. Finally, our platform is artificial intelligence (AI) empowered to enable the shop owners to monitor and make decisions about their stock. Challenges I ran into We started working on the idea during the COVID-19 crisis and testing it with malls owners has not been very easy. Accomplishments that I'm proud of We have hosted the platform and collecting feedback from end users. We have over 50 downloads and users in less than 1 month. What I learned Physical business will take time to stabiles, online is the way to go. What's next for Virtual Malls Our next step is to do more advertisement. Built With android django python Try it out globalautosystem.pythonanywhere.com

Virtual Malls

A one stop center to online shopping in Uganda.

['wasswa william', 'Sandrah Ayebaza']

[]

['android', 'django', 'python']

https://devpost.com/software/natural-mask

Inspiration: To save world What it does: Personal protective product How we built it: Using homemade materials like cloth, natural herbs. Challenges we ran into: Availability of materials Accomplishments that we're proud of: Disinfectant What we learned: Unity and save nature What's next for Natural mask: Educating public to prepare and implement in all homes. Built With hardware

Natural mask

Homemade mask with natural materials act as a disinfectant. It can be even prepared by any people without technical knowledge. It avoid multiplication of microbes.

['Priya A.K']

[]

['hardware']

https://devpost.com/software/drone-as-a-virus-detector

Inspiration: To save earth with innovations What it does: Virus detector How we built it: RC car Challenges we ran into: No human involved in it. purely automated. Accomplishments that we're proud of: Blood samples will be collected without person to person contact What we learned: Challenges What's next for Drone as a Virus Detector: Implement using drone Built With hardware

Drone as a Virus Detector

instead of drone RC car used for prototype. It will detect infected person and collect blood sample without person to person contact.

['Priya A.K']

[]

['hardware']

https://devpost.com/software/n-a-i-t-r-a

This shows how the image data is stored for logging all the files This shows how different images are stored in their respective post code folder Inspiration N.A.I.T.R.A as it means "eyes" in regional Hindi language , we wanted our app to help the society by providing important information about the global pandemic. At the same time to help the police department in enforcing the law with the help of responsible citizens. What it does It makes the user aware about important knowledge like general information , symptoms prevention etc. of COVID-19 / coronavirus 2.Allows the user to know whether his current location lies in a containment zone or not and gives a covid tracker map about the containment zones for detailed information The current situation in India is to avoid infection spreading due to mass gathering. So naitra enables the citizens to report any mass gathering events by uploading a picture of such events to our application website. The site processes the image for metadata and sends the image file to the nearest police station which makes the local police force more aware about the areas which are left in there blind spot. ( To mimic the sending of files to different servers the app creates different folders with post code as folder name (resembling different area police servers ) and store the image image file according to its post code in respective folder ) N.A.I.T.R.A is an application which is deployed on google assistant and hence does not require any external installation How I built it The 2nd and 3rd module mentioned above are created using Python and deployed as API on a server. The Google assistant is developed using Google Dialogflow and trained to respond the queries generated in the 1st use case. The agent utilizes the API hosted for successful execution of the use case scenarios. Challenges I ran into Exploring image analysis and metadata extraction from image. Data generation for the containment zones use case. Accomplishments that I'm proud of Overcoming my challenges. Learning new technology stack and integrating them through out the development process. What I learned Image Analysis using python. API creations in python. While doing the background study for this application we came to know the seriousness for the global pandemic situation and understood that this solution could help our society in curbing this spread of infection. What's next for N.A.I.T.R.A Currently N.A.I.T.R.A can be deployed on only android smartphones. We plan to further make it cross platform available through deployment on other user voice AI such as Siri NAITRA helps the people to report the violation of one of the law i.e. Mass Gathering . We plan to cover a wider scope of complaints to be registered from the citizens and make the people more vigilant about the situation. Built With dialogflow folium html imageai node.js python

N.A.I.T.R.A

Now Avoid Infection Through our Reporting Application

['Piyush Ingle', 'SHARAYU YADAV', 'Tejas Rajurkar', 'Akshata Kadam']

[]

['dialogflow', 'folium', 'html', 'imageai', 'node.js', 'python']

https://devpost.com/software/yourthreconnect

login Dashboard Inspiration Uganda has the highest level of youth unemployment in Africa. Of the 700,000 youth that complete formal education and join the job market every year, only 17% find something to do hence 83% of Ugandan graduates cannot find jobs. In addition, a number of people will lose their jobs after COVID-19 pandemic since the financial burden will necessitate a number of companies to reduce the number of expenses. Not only the educated people but even a number of casual workers will lose their jobs. Furthermore, a lot of Ugandans have been involved in Electronics and Textile Business with the highest importations coming from China. After the COVID-19 pandemic, a lot of this type of business will not boom as it was previously doing. Again despite the fact that the lockdown is being uplifted, some guidelines like public cars to always carry half of the full capacity will limit business prosperity. This means that the youth not only in Uganda need to get digitally connected and execute tasks/ business as teams. What it does YouthReconnect is an Intelligent Digital Platform to Empower Youth after COVID-19 lockdowns with access to potential employers, business partners, tailored training, and form innovation hubs to solve the challenges in their own communities. YouthReconnect specifically performs 4 major functions. Job finding – The platform helps the youth find job opportunities. These job opportunities could be permanent or temporary job hiring’s which could be professional or casual jobs like looking for a freelance programmer for 1 month, looking for a compound designer for 1 day. Business Partnerships – It’s time for the youth to stop setting up un necessary business competitions. The platform will empower those seeking to join others to form business partnerships like identifying a potential supplier in China (abroad) and buy goods in one shipment, whilst sending one representative, coming together to bid for bigger government or private contracts, forming saving groups like SACCOs or cooperatives and have shared access to financial support. The platform will also help local suppliers get connected to potential suppliers or contacts in other countries. Training and Mentorships – Provide technical and soft skills to the youth to increase their level of employability or self-made entrepreneurs. The platform also links the youth to some mentors from within the community for one to one mentorship sessions. Innovations – Lastly the platform provides an innovative Digital Hub, where the youth are provided skills to how to change their social challenges into opportunities, and how they can access funds through grants writing. How I built it YouthReconnect has been developed using a design thinking approach where the end users are part and central to the design process. After developing the framework of which we have validated with the potential end-user, we have now embarked on implementing the platform using the Django framework. Challenges I ran into The project seemed simple and small in the initial phase. However, on starting the developing of the project, it has actually seemed to be more broad with a number of stakeholders that we did not anticipate. The project also needs maximum publicity so that the youth can know more about it. Accomplishments that I'm proud of We are so happy that the platform has received positive feedback from the potential end users. We have validated our framework and embarked on developing the platform. What I learned The problem of unemployment in Uganda is going to be far beyond what even the authorities expect. We need to empower the youth to be innovative and turn these challenges into opportunities. We also need to embrace the power of team work. What's next for YourthReconnect Our next step is to implement and host YouthReconnect on Amazon and run Media Adverts Built With django python

YouthReconnect

YouthReconnect: An Intelligent Digital Platform to Empower the Youth after COVID-19 lockdowns get connected to potential employers, business partner, tailored trainings, and form innovation hubs.

['Sandrah Ayebaza', 'wasswa william']

[]

['django', 'python']

https://devpost.com/software/telemedml

TeleMedML Logo TeleMedML System Architecture Deep Neural Network Diagram TensorFlow Machine Learning Shell Output iOS App Login Screen iOS App Patient Welcome Screen iOS App Historical Transactions iOS App Report New Symptoms iOS App Results Page With Start Call Option Website Transaction View Inspiration With the recent COVID-19 pandemic, the healthcare industry has been subject to unprecedented amounts of strain. Hospitals worldwide have been filled beyond capacity, and numerous medical professionals are being worked to exhaustion. As a result, any innovation that has the potential to save time, reduce exposure to the virus, and secure personal medical data in the process has the potential to save countless lives. What it does TeleMedML provides a basic disease diagnosis for a user given a list of their symptoms. The user first selects which symptoms they are experiencing from a predefined menu. This information is then passed into a deep neural network, which analyzes the given data using a trained model, and returns the diagnosed disease as well as a confidence score. The user can also enter a short list of phrases describing their symptoms, which are sent to the server and analyzed using natural language processing, returning a diagnosis. Each data transaction is added to a series of pending transactions, which are subsequently verified using a proof-of-work algorithm and annexed to a block in the blockchain. How we built it App The iOS app begins with a secure login and signup page for users. Patients are able to view the entire history of previous transactions encrypted with SHA-256 hashes and secured on a decentralized blockchain network. A user is also able to fill out a symptoms form and write additional symptoms, which is encrypted and sent to the server for analysis. If the returned values indicate a potentially significant diagnosis, a doctor and patient are connected for real time communication, ensuring that a doctor’s valuable time is spent on those who need them the most. Server The flask-based server handles secured requests from clients and encodes all data points into blocks for storage in the blockchain network. Every time a client-side transaction occurs, the data is given a unique hash, encrypted, and linked to a previous block, chaining the data set together. A recursive algorithm was developed to work backwards through the blocks and decrypt the transaction data to securely access the full data set. Alongside the server, a novel TensorFlow-based deep neural network machine learning model was also built and trained on a relevant data set. The data is reshaped on a 0 to 1 scale, regularized, and sent through 4 layers of decreasing node counts with relu and sigmoid activation functions to predict disease diagnoses based on inputted symptoms. This prediction was combined with Amazon Comprehend Natural Language Processing algorithms to analyze the connotation of written symptoms to quantify the severity of the diagnosis. Website A website was built as a healthcare portal to view all transactions made by clients. After a secure login, doctors are able to view a table containing full transaction data accessed and decrypted from the server using the recursive data access function. Challenges we ran into One of the issues we encountered early on was establishing the infrastructure for the blockchain. Most of our group had relatively little experience with blockchain prior to the project, so figuring out how to implement each block, compute its hash, and connect it to the overall blockchain with a proof-of-work validation algorithm was challenging. Another difficulty we ran into was with sending requests to the server. We received internal server errors since the server we were hosting on was outdated and insufficiently large for the TensorFlow modules that our program incorporated, so we updated the server’s Python environment and upgraded its storage capacity. Accomplishments that we’re proud of We are extremely proud of being able to successfully configure and train a deep neural network with an expansive dataset. This allows us to more accurately tailor the user’s diagnosis to his or her individual symptoms, creating a more personalized experience. We are also proud of managing to create a decentralized blockchain network using Python and encoding each transaction through a cryptographic hash function based on the current data and previous hash. The chaining functionality and the proof-of-work algorithm were also difficult to implement, so it was rewarding to be able to do so. What we learned Given the current circumstances with the pandemic forcing us to work remotely, we had to learn how to communicate effectively and collaborate virtually in order to produce the desired end result. We also learned about the workings of blockchain technology, including the hashing and validation algorithm involved to ensure the security of the chain. What's next for TeleMedML There are several future options that we can pursue with TeleMedML. Among these is the creation of a convolutional neural network that can analyze user images. The addition of this feature would be useful in diagnosing diseases with physical symptoms, broadening the abilities of our detection software. We could also integrate the project with certain hardware components, such as sensors that would measure the user’s heart rate, respiratory rate, and other vital signs to improve diagnosis accuracy. Built With ai-applied-sentiment-analysis amazon-ec2 amazon-web-services blockchain flask keras machine-learning python sashido swift tensorflow Try it out github.com telemedml.macrotechsolutions.us

TeleMedML

A mobile application that employs machine learning and AI-applied sentiment analysis to assist in the telemedical diagnosis of respiratory illnesses through a blockchain-secured backend.

['Jack Hao', 'Elias Wambugu', 'Sai Vedagiri', 'Arya Tschand']

[]

['ai-applied-sentiment-analysis', 'amazon-ec2', 'amazon-web-services', 'blockchain', 'flask', 'keras', 'machine-learning', 'python', 'sashido', 'swift', 'tensorflow']

https://devpost.com/software/covid-19-marketplace

Admin adding marketplaces List of marketplaces Book a marketplace After sucessful booking Scan QR QR Validator Live Analytics Inspiration What made us build this application is that, we often hear news about lockdown announcements and what people do first when they hear this is bombing the stores (panic buying) to have more essential items in hand. As a result, the spot becomes over crowded where there is a risk of virus spreading. What it does Our application is built to make users pre-book their slot for market they wish to go. Before that, the administrators / the shop owners could add the availability of their shops, maximum number of people per time slot and few related stuffs. On booking, the user would receive an QR code in the application which they have to show when they are visiting the shop on entry and exit. By this scanning, we get real time updates on how much people inside the shop currently, and many more insights in a form of dashboard. How I built it Tech stack includes Angular, React, HTML, CSS, Javascript, NodeJS, PostgreSQL, Firebase, Heroku, AWS. Challenges I ran into Dealing with conflicts was one of the challenge during development :p Accomplishments that I'm proud of What feels proud is that, this is our very first hackathon and this project gave as a courage and will power to beleive in ourself that we can built something on our own. We managed to complete these whole modules in 4 days with a 4 - 6 member team. What I learned Managing multiple services, repositories, deployment, version control, project management. Improved our skills in what all technologies we have been using. What's next for Covid-19 Marketplace Feel free to check the current version in: https://covid19-marketplace.web.app First release the web app version, and later if it goes well, thinking of converting them to mobile app :) Built With amazon-web-services angular.js bootstrap firebase heroku html5 javascript node.js postgresql react Try it out covid19-marketplace.web.app marketplace-administrator.web.app marketplace-app.web.app marketplace-scanner.web.app marketplace-dashboard.web.app

Covid-19 Marketplace

Covid-19 Marketplace was developed to restrict high number of public crowd bombing the stores at the same time and as an initiative to promote social distancing practices.

['Ashwin Thanaraj']

[]

['amazon-web-services', 'angular.js', 'bootstrap', 'firebase', 'heroku', 'html5', 'javascript', 'node.js', 'postgresql', 'react']

https://devpost.com/software/covid-tracker-frjgi5

Inspiration During this pandemic, most people are quarantining at home trying to stay safe. But what about the people that don't have a home? During this time many police forces are removing homeless camps across cities, with many having now where to go and the government sometimes does not provide or expand it's alternative housing spaces. At the same time, hotel and housing properties listed on airbnb and other media are sitting without any occupancy as travel has become extremely limited. We felt that these rooms/homes with no one using them can be put to better use to help out the community and also possibly have a hand in helping flatten the curve. Another problem in this ongoing situation is that tons of farmers are forced to throw away their products as there has been less buying. What it does Homely.space is a web app designed to be easily accessible by everyone and provide all the facilities needed for the user to fulfill their purpose. There are two different people that would use the application. One is someone who wants to list their property on the database for homeless people to use. Another is someone who is seeking a temporary place to stay. People who want to enlist their housing can do so by signing up and providing the home address which will then be added to our database. The person who is seeking a home can also sign up and click the "locate me" button which will get their address and find the nearest available home for them. Once a home has been found, the two people will be put in contact with each other via phone or email. Another feature that is available in the application is a Request Food option. As farmers are throwing away they produces, we though that we can save some of this waste and connect a consumer straight to a farmer. In this part, a person can sign up as a volunteer that helps get food from a farm to a purchaser, which would help reduce good products going to waste. There are other small features such as a chat bot in which one can diagnose themselves and also get the latest updated data for covid. How we built it We built the application using JavaScript web framework, Express.js which is a part of Node.js. Simple endpoints were created to the login and registration, and a database was created that hold a users information. The database also stores the address for housing that people are offering to the people in need. When a house provider login in, he/she is asked to add the address of the house they want to give temporarily, which is then sent to the data base. When a shelter seeker uses the app, he/she enters their first and last name and click a button which allows for us to get the lat and long coordinates of their current location. Through an algorithm,using googles geolocation api and google distance matrix api, we find the house closest to their current location and provide them with the owners contact info. This logic is also used for when requesting food. The farmers would register their address, and the purchaser would enter their address. The purchaser then is connected to a volunteer that would be able to get the fruits and vegetables from the farmer to the buyer. Challenges we ran into We initially struggles to create a layout of the whole application, but were able to figure that out with some rough drawings. Another challenge was that the team members are all from different time zones, so communication with very difficult. Another challenge we ran into was understand database and getting it to work how we wanted it to. Since this was the first time some of us used firebase and google apis, we had to read documentations to understand everything about the two. Accomplishments that we're proud of There are a couple of things that we are proud of. One of them is that eventually we were all able to work together and understand what everyone was doing despite the time difference. We are also proud of the fact that throughout the project we were able to learn to use new features such as apis and databases that we did not know before the hackathon started. One important accomplishment is that we were able to overcome a huge time constraint and come up with a prototype of an idea that has potential to change people's lives. What we learned We learned how to set-up and use Google's geolocation and distance matrix apis, create a database and extract from it and using a new framework to built the website on. What's next for Homly.space The next steps for Homly.space is to create additional features such as having a donation tab where, people who are seeking shelter can donate whatever they feel like to the host (as anything helps). Another feature that can be added is that instead of having a web-page we could make some sort of chat bot that people can use to find nearly housing and also add housing. In addition, we can also have some sort of rating function, where the host can rate the people who stayed at their listing so future hosts can know how the people are treating their properties. Built With firebase gcp google-maps html5 node.js php Try it out github.com

Homly.space

Temporary Housing For The People, By The People - A application that connects people in need of shelter with people who want to provide

['Rishabh Jain', 'Shreyas Sanghvi', 'Mitali Mittal', 'Kritarth Shah']

[]

['firebase', 'gcp', 'google-maps', 'html5', 'node.js', 'php']

https://devpost.com/software/zesti

Elevator Pitch Billions of dollars are being lost every day as social distancing measures remain in effect. Most restaurants have expressed that they cannot solely survive on takeout or delivery orders. Major staff layoffs and furloughs have already occurred throughout the country and people are struggling to support their families. With almost 10% of the US workforce employed in the restaurant industry, our team knew we had to help. That’s where Zesti comes in. With Zesti, customers can order MealKits from their favorite local spot and cook live with the chef and friends. In the consumer app they will get a curated page of dishes to cook based on their preferences. MealKits include all necessary easy ingredients for the recipe, along with a live or on-demand video session of how to cook. Our live cooking class is a great interactive way to get expert help on cooking while chatting with friends and having a good time. To enable this easy to use experience on the customer side, we knew the restaurant app had to be easy to use. So we developed a simple yet thorough app for restaurants. Restaurants can sign up for Zesti and start selling right away. They can choose their own prices, add live sessions, manage pre-recorded sessions, and see orders they need to fulfill. With the live dashboard chefs and owners can host a live session with ease. They are able to see what step each participant is at, give advice through video, and view the chat for any questions. This helps create a strong community bond between restaurant owners and customers. 78% of the restaurants we surveyed said they are looking into creating new revenue streams for their businesses, and Zesti gives them the tools and power to do this. We can't wait to help restaurants with our product to deliver high-quality experiences in these tough times. We truly believe both customers and restaurants will love Zesti. Inspiration Restaurants have lost a large portion of their revenue due to the pandemic, and are some of the most important businesses in the economy. With such strict social distancing policies, the restaurant experience will be greatly affected. For in-person dining, restaurants will no longer be able to fit in as many customers as they did pre-COVID. When the pandemic ends there will be a new normal, and in that new normal it seems almost certain that restaurants will not be able to operate at full occupancy. This will have a profound impact on businesses that rely on the in-person dining over delivery and takeout options. At Zesti, we are lovers of food and entrepreneurs. After seeing that some of our favorite restaurants were closing we knew an important problem needed to be solved. We respect these small business’ hustle and creativity and wanted to craft something for them. In countless engineering classes we were taught to “pivot”, and Zesti will create a tool that will allow them to “pivot” their business in these tough times. What it does Our platform Zesti aims to help restaurants replace the revenue streams that they lost because of the virus, provide a virtual experience for customers looking for a different eating experience, and help restaurants sustain their vital role in the economy. The competition for our platform is services such as Blue Apron, Hello Fresh, MasterClass, and The Table Less Traveled. We believe that our platform will be a valuable addition to the market because it has features that no other platform in the market has. Our platform provides our customers with access to personalized ingredient kits from their favorite restaurants and access to instruction from restaurant chefs. Zesti enables consumers to eat dishes from their favorite restaurants as well as picking up a new skill. Unlike the other food box services Zesti incorporates local restaurants in the equation for same day pickup or delivery. Consumers will be able to register for a class from any restaurant offering classes. The registration includes a tailored kit of ingredients prepared by the restaurant, and access to a live class with a chef. The live classroom is highly interactive on both the consumer side and the instructor side. The classroom is also highly secure since only users who are registered to the class will be allowed into the class. During the class participants will be able to follow along with the Chef, and notify the chef if they are having trouble. After the class has ended it will automatically become available for users to watch on-demand at any time. This allows restaurants to still sell MealKits with a video, without having to do a live class. Ten minutes before the class is scheduled to start, the chef can begin the class from their device. Once the chef begins the class participants will get a notification that the class has started. The chef will have their own tailored dashboard where they can see the recipe instructions, the status of how the participants are doing with the current step, a preview of a classroom group chat, and finally a preview of a participant livestream. While the chef is performing each step they will be able to see how the participants are progressing with each respective step. If the chef sees that a lot of customers are having trouble with a specific step then the chef can spend more time on that step. This highly interactive and personal classroom will keep customers coming back, and more importantly give them a valuable cooking education from restaurants in their community. How we built it Zesti was built on a technology platform primarily using Amazon Web Services. In order to ensure secure user authentication, we are using Amazon Cognito. Within Cognito, we use Amplify CLI, which allows us to integrate and manage our AWS services, to create a user pool group for consumers and one for the businesses. Additionally, we are utilizing DynamoDB databases in order to store user account information and S3 as a cloud backup for all of our data. Finally, we make use of Amazon Personalize to tailor our recommendation engine. The frontend of the project will be built using React Native. This will allow us to easily develop for multiple devices for a quicker launch and broader customer reach. When implementing a video conference platform we have to consider the ITU (International Telecommunication Union) standards. The ITU has three standards for video conferencing. They are ITU H.320 which is a standard that is a recommendation on what protocol suites to use, ITU H.264 which is the compression algorithm used to achieve highly error-free video streams over a regular IP network, and ITU V.80 which is a standard for video conferencing over POTS (Plain Old Telephone System). It was important for the team to follow industry standards in order to enable widespread adoption and use of the platform. Challenges we ran into The team realized that none of us have experience owning or operating a restaurant so figuring out exactly what should and should not be included in our platform was challenging. In order to combat this challenge, we sent a survey out to many businesses in order to get their opinions on specific features and a general willingness for participation. Next, figuring exactly what our app’s function should be was tricky at first and we had a lot of ideas such as a learning platform or social media platform but did not have a true specialty area. To solve this, we spoke with a mentor in order to really narrow down our idea and have a true vision for what we want our final product to be. Lastly, creating a script and video that perfectly captured the service that we were trying to provide was a tough challenge. After a lot of tutorials and trial-by-error we were able to use Adobe After Effects and Affinity Designer to create digital assets that we could animate to convey our company. Accomplishments that we're proud of There are several accomplishments that we are proud of in this project. The first is the fact that our product helps to tie our communities together. During this pandemic, we have become more isolated through social distancing. This app will help keep close-knit communities together and support local businesses. Since restaurants can serve as the meeting places and backbones of our community - this is an important role for our app to fill. Further, we are proud that within a week we were able to develop a functional wireframe. This will allow a walkthrough to potential customers both from restaurant owners as well as users. Based on our use of Adobe XD, a link can be placed on any web page to show a preview of our design. Going further, this will also allow for a more seamless construction of the app, as the functionality and flow is completely defined. Finally, we are proud of the data and connections that we made with restaurant owners and chefs. We envisioned a lean startup for our business. Establishing what our target community wants from our product (and establishing that they want it in the first place) is a key step in a lean business model. The data from our survey allowed us to tailor the product we are presenting to what the restaurant industry most wants in a post-COVID world. Thus, we can make a solution that best suits the need. What we learned The team learned a bunch of new skills and programs like AdobeXD, AWS, React, and more. More importantly, we really learned how to create a product that was focused and detailed enough to be viable in the real world. Another thing we learned was balancing the needs of various stakeholders in a product. We had many discussions on what features needed to be prioritized for restaurants and consumers. For example, we knew we had to dedicate a lot of time to developing a great live host experience for chefs, so we made sure it was detailed and as easy to use as possible. What's next for Zesti So what is next for Zesti?! The team is currently in the process of surveying restaurant owners across the country to help mold the app to their needs. For Zesti to succeed, businesses need to love how simple and easy it is to offer MealKits and lessons to customers. On the business end, Zesti is planning to partner with local businesses to advertise to customers. This will give free advertisements to both small restaurants that need our help, and will help the adoption of our app. We are also working on videos and documentation to onboard restaurants and prepare them for hosting live classes. We will be a resource to help them produce high-quality experiences. Lastly, on the development side of things the team is looking to build out our platform on both iOS and Android devices. Built With adobe amazon-dynamodb amazon-web-services amplify cognito livestream react reactnative s3

Zesti

Communities Cook Together

['Andrew Yager', 'Vincenzo Susi', 'Gerard Cardinale', 'Matthew Sirota', 'Daniel Rosenberger', 'Dhru Patel', 'Joseph Naiburg', 'Will Herwig']

[]

['adobe', 'amazon-dynamodb', 'amazon-web-services', 'amplify', 'cognito', 'livestream', 'react', 'reactnative', 's3']

https://devpost.com/software/covhelper-jb6nku

Inspiration All over the world, the spread of the pandemic is a persisting problem. As we saw people of all ages are affected by the problem specially older people, and people with pre-existing medical conditions (such as asthma, diabetes, heart disease). In addition, governments have to deter the spread of fake news that is making it harder to flatten the curve. That's why the best solution until now is tracking the virus, keeping the citizens aware by updating them about the current situation and finally improving their behaviour to respect social distancing . What it does CovHelper is a mobile application (implemented on both Android & iOs) with 2 versions one for citizens and the other for medical establishments . The application will help the government to improve citizen’s behaviour, keep the user updated and safe by tracking of the user status ( by adding daily symptoms: his symptoms will be available only for hospitals so we can contact to have a test if needed ) and his contacts (who is infected and who was in contact with the victim) and last but not least allows the user to consult a list of nearest hospitals and donate to organisations and funds raised to defend COVID-19 outbreak . For the version designed for medical establishments a medical assistant will be given an account to sign in and update positive tested cases. For citizens they have the ability to register and sign in. When registering, the patient answers a collection of questions (the list can be modified dynamically). The answers of each patient will be saved in the database and an algorithm will automatically order the list of patients from most critical or urgent to least critical. This algorithm will be defined with a CORONA specialist. The responses will also allow us to have a list of the people the patient has contacted and their family members. The questions differ depending on the case, whether you come from abroad or not . Once connected, you can consult the Dashboard, where you can check: • Your status and Old Symptoms ( these symptoms will be available only for hospitals so we can contact to have a test if needed ) • Add new symptoms • Volunteering (helping around) • Make a donation • Quarantine counter • News: Just display news related to Coronavirus (title contain Corona) => depending on your localisation country and the language you have chosen these news will be dynamically updated The api we have used to get news is https://newsapi.org/ because it provides verified news • Trackpad: The user ca check his status if he’s infected by the virus or not who infected who and who encountered an infected How we built it The application will be ready to launch within two weeks so that we can catch up and track the virus all over the world. The application is available with English, French and I'll soon add Arabic to ensure everyone can connect within the app. CovHelper is developed with react native to make sure we get the application as soon as possible on both android and iOs devices. We used material design for modern UI framework. Apis will be developed using Firebase , we thought this will be the fastest way to do it. We used different APIs to get data such as NewsAPI and Postman apis. Updating a patient status is only entered by the medical establishments, this will approve the authenticity of the app and prevent false positives or self-reporting, which might lead to falsification of records. Checkout app presentation with different views here Challenges we ran into • Add Location Check coronavirus victims’ position : For iOs it is possible to get a notification when the location did change, this will be enough for us. When location did change, we will start a call to the API telling the server that our position did change. For android, if we keep a notification of our application no dismiss-able, we can keep asking for location. This does fix the problem too. One last problem for iOs, if our device restart, the user need to restart the application to make sure we are requesting location again. We don’t have this problem for android because we can use on Reboot broadcast receiver to make sure we restart our service every time we restart the device. Accomplishments that we're proud of We are mostly proud to contribute in the developing a solution that will reduce the spread of the virus throughout the country while finding a vaccine to cure the pandemic with the tracking method. It will improve awareness and help medical stuff at the frontline in order to keep everyone healthy. We specially appreciate the wide range of offered resources, the freedom in making your work plan and the overall friendly atmosphere . We are able today to apprehend projects with a good perspective and to propose adequate solutions to the issues addressed and we are really thankful of that. This project was on top 3 finalists in HackTheVirus Hackathon organized by GoMyCode in Tunisia. This Hackathon allowed us to get in touch with great minds that's why we decided that everyone still can contribute to this project: designers, developers, idea holders… we will provide open source code for developers just to make sure we all are making a difference. What we learned We should mention we were able to encounter great minds from all over the world that really care about this crisis. We had the chance to exchange ideas, motivate each other ,learn from one another and make great friends through slack workspace . Briefly, This experience helped me sharpen the spirit of initiative and even more boost my taste for challenge and leadership . What's next for CovHelper We plan to get the app deployed as soon as possible for that we'll need : • Ensuring a sustainable cost of running such an app in the cloud storage • Government entity or public health organisation commission to track data. • Medical system contribution to update the status of patients. We also plan to add these features : • Location : Consult list of nearest Hospitals : Localise hospitals nearby so that the user can contact them in case of urgency Notification : we send a notification to the user: o When he enters a new building o When the distance between the user and a Corona case is < to 100 meters This application will guide us through this period and even after quarantine just to ensure everyone of us gets back to his normal lifestyle and why not have a better lifestyle. The app will remain a great tool to donate, volunteer to hospitals and charity organisations and we will allow people in need to post their problems. It will be a platform to give and get Help. Built With android firebase ios javascript machine-learning react-native Try it out github.com drive.google.com

CovHelper

CovHelper is a 2 versions app that tracks affected cases, facilitates donating to organizations, keeps the citizen updated about his status and his contacts status and provides him with verified news.

['hajer so', 'haythem so']

[]

['android', 'firebase', 'ios', 'javascript', 'machine-learning', 'react-native']

https://devpost.com/software/the-virtual-medic-fwbdr1

LOGO Disease Prediction Example Disease Prediction Example Disease Prediction Example Barcode Scanner backend Medicine Reminder Medicine Reminder Setup Inspiration While access to healthcare and hospitals remain very delicate in these times, we are developing a full AI based model that can be easily used and deployed to automate the process of patient hospitalization. What it does As the initial part of the project we have developed the health application serves several purposes. To begin with, the app has a Disease Predictor, which takes symptoms as the user input and predicts the disease based on the same. The application also implements a Barcode Scanner that scans the barcodes on different medicines via the camera and displays the details about the same like usage, effectiveness and side effects. The app also lets the user input their daily medication including the number of doses and their timings. On adding, the app would send the user a notification at every dosage time. How do we aim to automate hospital interface with the same ? Through the disease prediction model, i further aim to deploy a consultation mechanism that based upon the user symptoms connects us with the related doctor who specializes in the same field, for e.g orthopaedics, psychiatrists, general surgeons etc. Deployed in a hospital, the same can be used to assist patients with database management as well consultation management. How I built it The app is completely based on python with android being used as the front end framework. Accomplishments that I'm proud of The accuracy of the model and its ability to predict upto 41 diseases based upon the 132 different symptoms provides evidence of the advancements that can be made in this field. What I learned Being a machine learning enthusiast, i had never used android for deploying a front end to my application, hence android is the very main thing that i acquired from the project What's next for The Virtual Medic I plan to work on the UI of the application as well as plan to integrate a virtual video conferencing tool that can connect the user to nearest doctor for health consultation. Built With android flask keras machine-learning python Try it out github.com

The Virtual Medic

ML Based Disease Prediction and Hospital Automation

['harsh pandey', 'Neel Kukreti', 'Tanvi Thakur']

[]

['android', 'flask', 'keras', 'machine-learning', 'python']

https://devpost.com/software/what-should-you-do-today-during-quarintine

We wanted to create a project that could benefit people staying at home in the wake of the COVID-19 pandemic. As boredom is setting in, people are looking for things to do to stay busy and entertained. Our program selects a specific and personalized activity for the user based on their interests. The program begins with a short quiz that selects a category from TV entertainment, baking, nature, and music. The user is prompted with more questions to select the exact activity for the user such as a specific movie or tv show based on genre, streaming service and type of media and even provides a reelgood.com link to make things even easier. The program can also find you a recipe based on the amount of servings that you want to make. If you want to listen to new music, the program finds a personalized music recommendation based on each answer you choose. It can also find a nature-related activity based on your desired level of activity. The program is built using c++. It uses input and output redirection, file i/o, node structs, linked lists and inheritance. A challenge that we faced was the time constraint. We were not used to having to do a whole project in such a short time frame, so we had to choose a project that we could do in one day. We also have never made a project from scratch before. We normally work with starter files, so starting ourselves this time was a challenge. We are proud of the fact that we overcame these challenges to make a functioning program. There are many potential future improvements for this project, as there are so many possible activities. We could add more categories to include things like art and exercise. We also want to make a user-friendly interface that is visually appealing and easy to use. With this, we hope people are reminded how fun it can be to stay safe and inside. Built With c++ Try it out github.com

Quarantine Fun!

Don’t be bored for another day in quarantine! Use our generator to find a personalized new activity based on your interests.

['Anisha Nahta', 'Anastacia Gusikhin']

[]

['c++']

https://devpost.com/software/pneumoscan-an-ai-radiology-tool-for-covid-19-pandemics

Fig. 1: Map of Covid19 cases around the world (as of 4/30/2020) Fig 2: Top 10 countries with most COVID-19 deaths Fig 3: Current chest X-ray diagnosis vs. noval process with CovidScan.ai Chart of wait-time reduction of AI radiology tool (data from a simulation stud reported in Mauro et al., 2019). Fig. 5: Process of CovidScan development Demo of web-app: https://www.cv19scan.site/ (Please use Internet Explorer, or Firefox, our web-app currently doesn't support Chrome) Dataset: For the data analytics of COVID-19 pandemics, we used data collected by the Johns Hopkins University Center for Systems Science and Engineering updated on 4/30/2020. For the chest X-ray detection models, we used combined 2 sources of dataset: The first source is the RSNA Pneumonia Detection Challenge dataset available on Kaggle contains several deidentified CXRs with 2 class labels of pneumonia and normal. The COVID-19 image data collection repository on GitHub is a growing collection of deidentified CXRs from COVID-19 cases internationally. The data is collected by Joseph Paul Cohen and his fellow collaborators at the University of Montreal Eventually, our dataset consists of 5433 training data points, 624 validation data points and 16 test data points. Inspiration What will be working situation for medical staff in hospitals during and after the COVID-19 pandemic? How can the medical staff quickly and securely log in and perform PPE safety check while dealing with a huge influx of patients in critical conditions? How can we automate the process of COVID-19 diagnosis so precious time can be saved for both medical doctors and the patients? How can our solution for hospital later be scaled and implemented to be a essential tool for automating the daily operation at hospital even after the COVID-19 pandemics is over? To answer these core questions, we did some background research to identify the main challenges in order to develop the best solutions around those: COVID-19 Pandemic: Fig. 1: Map of Covid19 cases around the world (as of 4/30/2020). Our team created the map based on data collected by the Johns Hopkins University Center for Systems Science and Engineering. As we see from the map above and the pie chart below, COVID-19, previously known as the novel Coronavirus, has killed more than 63,860 people and infected over 1,067,061 people in the United States alone, topping all other countries around the world. This number is continuing to grow every day. Fig. 2: Top 10 countries with most COVID-19 deaths. The 3 main problems occur in the healthcare system during the pandemics are: 1. Confidentiality: As you may see on the news, hospitals all over the U.S. (New York, Chicago,California…) and other countries (Italy, Spain…) are flooded with a huge influx of patients with critical conditions. With the increasing workload for the medical staff, patients’ confidential information may be put at risk if unauthorized personels can hack into the electronic medical record system. Thus, there is a need for a fast and secured method for medical staff to log in to the electronic medical record platform, so that the staff can move quickly with patients’ information inputting and still remain compliant with HIPPAA (Health Insurance Portability and Accountability Act). Badge scanning will be highly secured solution for this problem. 2. PPE Safety Check: According to CDC, during COVID-19 pandemics, all healthcare workers should follow strict guidlines and protocols from OSHA regarding wearing PPE. All of the PPE prevents contact with the infectious agent, or body fluid that may contain the infectious agent, by creating a barrier between the worker and the infectious material. Gloves, protect the hands, gowns or aprons protect the skin and/or clothing, masks and respirators protect the mouth and nose, goggles protect the eyes, and face shields protect the entire face. N95 masks are the PPE most often used to control exposures to infections transmitted via the airborne route. Therefore, checking medical staff’s PPE safety protocol is especially crucial during this pandemics. 3. Long wait time for COVID-19 chest X-ray result: Fig 3: Current chest X-ray diagnosis vs. novel process with CovidScan.ai Patients can first be screened for flu-like symptoms using nasal swap to confirm their COVID-19 status. After 14 days of quarantine for confirmed cases, the hospital draws the patient’s blood and takes the patient’s chest X-ray. Chest X-ray is a golden standard for physicians and radiologists to check for the infection caused by the virus. An x-ray imaging will allow your doctor to see your lungs, heart and blood vessels to help determine if you have pneumonia. When interpreting the x-ray, the radiologist will look for white spots in the lungs (called infiltrates) that identify an infection. This exam, together with other vital signs such as temperature, or flu-like symptoms, will also help doctors determine whether a patient is infected with COVID-19 or other pneumonia-related diseases. The standard procedure of pneumonia diagnosis involves a radiologist reviewing chest x-ray images and send the result report to a patient’s primary care physician (PCP), who then will discuss the results with the patient. _Fig 4: Chart of wait-time reduction of AI radiology tool (data from a simulation stud reported in Mauro et al., 2019). _ A survey by the University of Michigan shows that patients usually expect the result came back after 2-3 days a chest X-ray test for pneumonia. (Crist, 2017) However, the average wait time for the patients is 11 days (2 weeks). This long delay happens because radiologists usually need at least 20 minutes to review the X-ray while the number of images keeps stacking up after each operation day of the clinic. New research has found that an artificial intelligence (AI) radiology platform such as our CovidScan.ai can dramatically reduce the patient’s wait time significantly, cutting the average delay from 11 days to less than 3 days for abnormal radiographs with critical findings. (Mauro et al., 2019) With this wait-tine reduction, patients I critical cases will receive their results faster, and receive appropriate care sooner. What it does Using the power of pretrained machine learning models from open source, CovidScan.ai is created as a full-scaled AI tool for radiology clinics and hospitals. It can automate the process of security log-in, PPE safety check for medical staff and assist radiologists determine sign of COVID-19 on chest X-ray images with high accuracy indicates pneumonia. This tool of cutting edge technology can be used to reduce the workload for clinicians, and speed up patients’ wait time for pneumonia lab results in this critical time of the COVID-19 pandemic. Fig 5: Deployment process of pretrained ML model to the web-app As explained in the figure above, the CovidScan web-app includes 3 main AI components: 1. ID Badge Scanner: For security purpose, only authorized personel can access to the web-app, which contains patients’ confidential health information (name, date of birth, chest X-ray, medical history…). Hence, the web-app will use pretrained scan the medical’s badge to grant them access to the software. 2. PPE Safety Check: Due to hospitals/clinics’ strict guidelines in PPE usage, especially during this COVID-19 ourbreak, the web-app will ask the medical staff if he/she is in direct contact with patients for chest X-ray taking. If yes, then the web-app witll use AWS pretrained to check for medical staff’s PPE to see if the staff follow the safety protocols to minimize any exposures to the disease. If the medical staff passed both the secured check and safety, he/she can move on the the next step. 3. COVID-19 Chest X-ray Testing: In the last step, the medical staff take patients’ chest X-ray images using the specialized machine and then upload the taken images to the database of web-app for testing for sign of COVID-19 infection or bacterial pneumonia. It is due to the fact that an AI system can review, highlight the pneumonia sign and classify each X-ray image all in less than 10 seconds (comparing the radiologist’s 20 minutes that we mentioned earlier), and it can do that same task effortlessly for 24 hours without taking a break. This time cut is especially critical in the time amid the pandemic of COVID-19. With this spreading rate, it will be overwhelming for radiologists to review a massive number of chest X-ray images of potential COVID-19 infected patients. With the assistance of CovidScan.ai, it can automatically highlight the suspected signs of pneumonia for the radiologists and speed up the process of chest X-ray review. Therefore, more COVID-19 positive-tested patients will get their result back faster and receive appropriate care sooner to prevent the spread of the virus. How we built it Employee Badge Scanner: We developed this feature using the open-source python library Pyzbar. We have written the script in the JQuery which sends the snapshots from the live camera feed to the inference model at the backend. It can read one-dimensional barcodes and QR codes present on the employee’s ID badge. We implemented this feature to work with a snapshot of employees’ ID badge. Link: https://pypi.org/project/pyzbar/ PPE Safety Check: We developed this feature using the open-source TensorFlow model for face mask detection. The backbone network only has 8 Conv layers and the total model has only 24 layers with the location and classification layers counted. The dataset is composed of WIDER Face and MAFA datasets. We have written the script in the JQuery which sends the snapshots from the live camera feed to the inference model at the backend. It works with live footage from any sort of cameras and detects people not wearing a face mask. Link: https://github.com/AIZOOTech/FaceMaskDetection Chest X-ray Classification: For this feature, we developed a Pytorch model. This project’s goal is to draw class activation heatmaps on suspected signs of pneumonia and then classify chest x-ray images as “Pneumonia” or “Normal”. For this project, we are going to use a dataset available at Kaggle consisting of 5433 training data points, 624 validation data points and 16 test data points. C. For the model, we load the pre-trained Resnet-152 available from Torchvision for transfer learning. ResNet-152 provides the state-of-art feature extraction since it is trained on a big dataset of ImageNet. ResNet-152, as the name sounds, consists of 152 convolutional layers. Due to its very deep network, the layers are arranged in a series of Residual blocks. These Residual blocks skip connections to help prevent the vanishing gradients which are a common problem with networks with deep architecture like ours. Resnet also supports Global Average Pooling Layer which is essential for our attention layer later on. For the attention layer to draw the heatmap, we use the global average pooling layer proposed in Zhou et al. Global average pooling layer explicitly enables the convolutional neural network (CNN) to have remarkable localization ability. We achieve 97% accuracy on the training dataset and 80% on the testing dataset. Web development: The trained weights of the deep learning models are deployed in a form of Django backend web app CovidScan.ai. While the minimal front-end of this web app is done using HTML, CSS, Jquery, Bootstrap. In our latter stage, the web-app will then be deployed and hosted on Debian server. Technical Requirements: The packages required for this project are as follows: Torch (torch.nn, torch.optim, torchvision, torchvision.transforms) Django Numpy Matplotlib Scipy PIL Tensorflow jQuery Challenges we ran into This hackathon project was a very different experience for us which challenged us throughout this project with the AWS sagemaker. This is the first time we all were working with AWS sagemaker and creating endpoints of the pre-trained TensorFlow model. Also, understanding curated models and determining their accuracy was a little bit challenging for us. Even after successfully deploying the model’s endpoints, calling Amazon SageMaker model endpoints using Amazon API Gateway and AWS Lambda gave us a very hard time. Accomplishments that we're proud of We manage to finish the project in such a limited time of 2 weeks in our free time from school and work. We still keep striving to submit on time while learning and developing at the same time. We are really satisfied and proud of our final product for the hackathon. What we learned Through this project, we learn to implement a complicated image-recognition deep learning models from AWS marketplace. We also learn the process of developing a mini data science project from finding dataset to training the deep learning model and finally deploy & integrate it into a web-app. This project can’t be done without the efforts and collaboration from a team with such diverse backgrounds in technical skills. What's next for CovidScan: In the next 2 months, our plan is: We will raise fund to invest more into the R&D process. We will partner with research lab to collect more dataset and find hospitals to test our solution. One of our memeber has published his newly collected dataset on this open-source github: https://github.com/nihalnihalani/COVID19-Detection-using-X-ray-images-/ Regarding our R&D, we plan on improving the performance of the platform, preferably by reading more scientific literature on state-of-art deep learning models implemented for radiology. We also plan to add the bound box around the suspected area of infection on top of the heatmap to make the output image more interpretable for the radiologists. We are working to implament the multilabeling model of COVID-CXR on our dataset to improve our application. This model is published by The Artificial Intelligence Research and Innovation Lab at the City of London's Information Technology Services division and has accuracy 0.92, precision 0.5, recall 0.875, auc 0.96. In many pieces of literature, they mentioned developing the NLP model on radiology report with other structured variables such as age, race, gender, temperature... and integrating it with the computer vision model of chest X-ray to give the expert radiologist’s level of diagnosis. (Irvin et al., 2019; Mauro et al., 2019) We may try to implement that as we move further with the project in the future. With the improved results, we will publish these findings and methodologies in a user-interface journal so that it can be reviewed by expert computer scientists and radiologists in the field. Eventually, we will expand our classes to include more pneumonia-related diseases such as atelectasis, cardiomegaly, effusion, infiltration, etc. so that this platform can be widely used by the radiologists for general diagnosis even after the COVID-19 pandemics is over. Our end goal is to make this tool a scalable that can be used in all the radiology clinic across the globe, even in the rural area with limited access to the internet like those in Southeast Asia or Africa. References: Crist, C. (2017, November 30). Radiologists want patients to get test results faster. Retrieved from https://www.reuters.com/article/us-radiology-results-timeliness/radiologists-want-patients-to-get-test-results-faster-idUSKBN1DH2R6 Irvin, Jeremy & Rajpurkar, Pranav & Ko, Michael & Yu, Yifan & Ciurea-Ilcus, Silviana & Chute, Chris & Marklund, Henrik & Haghgoo, Behzad & Ball, Robyn & Shpanskaya, Katie & Seekins, Jayne & Mong, David & Halabi, Safwan & Sandberg, Jesse & Jones, Ricky & Larson, David & Langlotz, Curtis & Patel, Bhavik & Lungren, Matthew & Ng, Andrew. (2019). CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison. Kent, J. (2019, September 30). Artificial Intelligence System Analyzes Chest X-Rays in 10 Seconds. Retrieved from https://healthitanalytics.com/news/artificial-intelligence-system-analyzes-chest-x-rays-in-10-seconds Lambert, J. (2020, March 11). What WHO calling the coronavirus outbreak a pandemic means. Retrieved from https://www.sciencenews.org/article/coronavirus-outbreak-who-pandemic Mauro Annarumma, Samuel J. Withey, Robert J. Bakewell, Emanuele Pesce, Vicky Goh, Giovanni Montana. (2019). Automated Triaging of Adult Chest Radiographs with Deep Artificial Neural Networks. Radiology; 180921 DOI: 10.1148/radiol.2018180921 Wang, L., & Wong, A. (2020, March 30). COVID-Net: A Tailored Deep Convolutional Neural Network Design for Detection of COVID-19 Cases from Chest Radiography Images. Retrieved from https://arxiv.org/abs/2003.09871 Built With matplotlib numpy pil pytorch1.0.1 torchvision0.2.2 Try it out gitlab.com www.cv19scan.site

CovidScan-An AI Radiology Tool For COVID-19 Pandemic

CovidScan.ai is developed to be a secured AI platform with the purpose to assist radiologists with fast and accurate pneumonia dectection amid this COVID-19 pandemic.

['Moksh Nirvaan', 'Nihal Nihalani', 'Vi Ly']

['Second Place', '2nd Place - Website Feature']

['matplotlib', 'numpy', 'pil', 'pytorch1.0.1', 'torchvision0.2.2']

https://devpost.com/software/corona-hangman

Home Screen New Game. The Player is Shown a Hint Win Alert. Player is Shown How Many Guesses They Used Lose Alert. Player is Shown the Correct Answer Inspiration As we are currently in the midst of a pandemic, we wanted to create an application which would be fun, yet intellectually stimulating for children as they find themselves experiencing this new reality while living with the threat of COVID-19. Corona Hangman seeks to teach children interesting and educational facts about COVID-19 so they will be better prepared in their day-to-day lives. What it does Corona Hangman is an educational game which allows the player to complete the given COVID-19 fact by guessing the letters which make up the missing word(s). If they do not guess within a certain number of allowable attempts, then the man unfortunately gets hanged in the game and they lose. The more they use this app, the greater amount of knowledge they will digest, which will assist them in their everyday lives as they try to stay safe against COVID-19. How we built it The game was built entirely in Swift using the UIKit framework. No third party libraries were used. For the UI, we wanted it to look like actual drawings on a whiteboard so we drew all the visuals by hand. For the words, we created two text files, one that holds the words, and one that holds the hints. These are randomly picked and the beginning of each round. We made it so that the user gets 7 incorrect guesses before they lose. They select letters from a grid of buttons placed at the bottom of the screen. If they guess the word correctly, they are told they have won and how many guesses they took. Challenges we ran into Due to the hackathon being forced to be online, it was hard to communicate with other team members as it was more restricting than when members are able to communicate face-to-face. Another major challenge that we faced was strategically dividing tasks amongst the team members in accordance with each individuals' expertise. With time, we were able to assess each others' skills and divide work accordingly to achieve our goal. Accomplishments that we're proud of Despite the circumstances caused by the current pandemic, we were able to work cooperatively and finish the project on time. Moreover, each of us made sure to work with a tool/technology which we had never used before, so that the learning experience was maximized. Furthermore, we are very proud that we managed to efficiently work together, even though we were miles away from each other. What we learned This project was indeed challenging, however, this forced us to grasp a better understanding of app development. Finally, we learned that regardless of the hurdles, we are able to accomplish anything if we put our minds to it. What's next for Corona Hangman We aspire to expand our horizons and have Corona Hangman ready for any future pandemics or viral outbreaks, so it will better prepare children against what is to come. For instance, as per the Centers for Disease Control and Prevention, approximately 540 children died from H1N1 flu within the first six months of the viral outbreak. If only those children were somewhat better prepared, they may have had a better chance in survival against this kind of a deadly outbreak. At the end of the day, we want to save the lives of as many children as possible. Furthermore, we wish to arrange appointments with educational institutions to display and demonstrate our application to the students directly, and have troubleshooting and Q&A sessions every week just in case the children do not know how to utilize our product as intended. Domain Name Our domain.com registered domain name is http://LetsHangCorona.online Built With python swift Try it out github.com

Corona Hangman

Allowing children to learn more about COVID-19 in the midst of a devastating pandemic.

['Niranjan Krishnaswamy', 'Arjun Dureja', 'Shoeb Islam', 'Farhan Mohammed']

[]

['python', 'swift']

https://devpost.com/software/an-innovative-and-improved-approach-to-prevent-treat-covid

AutoCAD design with sensor Inspiration Our goal and inspiration was to improve our idea as more of a at home solution and having a more confident drug delivery when approaching COVID-19 patients. What it does The approach is a treatment plan for mild COVID-19 cases and serve as a therapeutic approach. We used a nebulizer with sensors so the patient can be confident the drug will get to the lungs so it can heal faster and decrease the inflammation. How I built it Improved Aerosolized Drug Delivery Treatment and Therapy Plan Grace Miguel, Olivia Poplawski, Tara Ravoli, Kelly DiResto, Ava Tartaglia Proposed Improvements The team has moved away from liposomal delivery of a corticosteroid because the steroid puts strain on the body and causes fever-like symptoms. Rather than using a steroid, the team has implemented the use of an anti-inflammatory drug called colchicine. Furthermore, the preferred method of the antiviral drug that battles COVID-19 is in the pill form because it will be dispersed in the bloodstream faster than it would in an aerosolized form. Our improvements should be used for mild COVID-19 cases and serve as a therapeutic approach. Fluid Mechanics - Does Liposome work? Liposome will get to the lung and alevoli Liposome can localize the action of inhaled drugs in the lung, improving the therapeutic outcome. Use mesh nebulizer for most efficiency[least loss of drug]- large mesh apertures are less disruptive to liposomes than jet nebulizers, especially when the vesicle size is small before entering nebulization. Inhaled drug particles should be ‘fine particle fraction’(FPF) “particles should be smaller than 5 or 6 µm, with particles smaller than 2 µm being the most suitable for deposition in the alveolar region”(Rudokas). After COVID the lungs of patients are being damaged.and it would be hard to fully get the correct amount of drug to the patient Researched Drugs Hydroxychloroquine - Ava & Kelly Immunosuppressive drug and anti-parasite Traditionally treats/prevents malaria, as well as arthritis and lupus- its a positive that it has already been used in humans Trump claims to be taking daily doses of it “Hydroxychloroquine is being used to try and stop coronavirus from spreading inside your body. It is not yet known if hydroxychloroquine is a safe and effective treatment for COVID-19, and this use is still experimental.” Researchers have been interested in chloroquines as an anti-viral agent for some time A study in Virology Journal in 2005 found that chloroquine inhibited the closely related Sars virus in primate cells in lab conditions chloroquine could quell the spread of SARS-CoV when applied to infected human cells in culture Chloroquine disrupts the ability of the SARS-CoV virus to enter and replicate in human cells, Live Science previously reported The cell culture studies of SARS-CoV-2 revealed that the drug and its derivative hydroxychloroquine undermine the novel virus' replication in a similar way Many varying answers of result stories International Society of Antimicrobial Chemotherapy found that “hydroxychloroquine treatment is significantly associated with viral load reduction/disappearance in COVID-19 patients,” and the effect was “reinforced by azithromycin,” the antibiotic better known as a Z-pack Conducted at U.S. Veterans Health Administration medical centers found that COVID-19 patients who took hydroxychloroquine were more likely to die than those who did not A study looked at the combination of hydroxychloroquine, the antibiotic azithromycin and zinc supplements. Showed that patients who received the three-drug combination vs the two-drug combination of hydroxychloroquine and azithromycin were 44% less likely to die than the second group The FDA has authorized emergency use in adults and adolescents hospitalized with COVID-19, despite not knowing its effectiveness If we were to use this, recommended dose seems to be ~400 mg/d “Hydroxychloroquine effectiveness profile, its ability to inhibit lung viral replication for a 10-day period after only a 5- day cycle of therapy, and the large amounts of knowledge in term of safety deriving from its use for malaria prophylaxis and rheumatologic diseases permit to recommend its pre-exposure or post-exposure use for those performing procedures at high risk of viral diffusion in patients with COVID-19 pneumonia” \ Antiviral EIDD-2801 - Grace, Tara EIDD = Emory Institute for Drug Development EIDD-2801 is an oral ribonucleoside analog that inhibits the replication of multiple RNA viruses, including respiratory syncytial virus, influenza, chikungunya, Ebola, Venezuelan equine encephalitis virus, and Eastern equine encephalitis viruses. It is important that antivirals are active against a broad range of viruses so we can build a supply for a future pandemic.(Dennis C. Liotta, director of EIDD). “Our studies in the Journal of Virology show potent activity of the EIDD-2801 parent compound against multiple coronaviruses including SARS and MERS,” says Mark Denison, MD, the Stahlman Professor of Pediatrics and director of pediatric infectious diseases at Vanderbilt University School of Medicine. “It also has a strong genetic barrier to development of viral resistance, and its oral bioavailability makes it a candidate for use during an outbreak.” Must be used in early stages of contraction, would not be useful in later stages of the disease (Juliet Morrison, a virologist at UC Riverside). “Once you demonstrate its safety and efficacy, you’d like to build up a big supply of it so that when the next pandemic comes along, you have something you can potentially try with people, and if it works, you can stop that viral pandemic in its tracks.”- Dennis C. Liotta Director of EIDD EIDD-2801 works similarly to Gilead Sciences’ remdesivir, an unapproved drug that was developed for the Ebola virus and is being studied in five Phase III trials against COVID-19. Both molecules are nucleoside analogs that metabolize into an active form that blocks RNA polymerase, an essential component of viral replication. Other effects: improve pulmonary function, decrease body weight loss, and reduce amount of virus in the lungs. Positive compared to remdesivir: But remdesivir can only be given intravenously, meaning it would be difficult to deploy widely. In contrast, EIDD-2801 can be taken in pill form, says Mark Denison, a coronavirus expert and director of the infectious diseases division at Vanderbilt Medical School. Positive compared to remdesivir: He also notes that while remdesivir and EIDD-2801 both block RNA polymerase, they appear to do it in different ways, meaning they could be complementary. Negative compared to remdesivir: Unlike remdesivir, EIDD-2801 lacks human safety data. Ridgeback founder and CEO Wendy Holman says she expects the US Food and Drug Administration to give the green light for a Phase I study in COVID-19 infections within “weeks, not months.” Human trials began on April 10 in the UK- clinical trials are still underway. Japan Drug-Olivia The antiviral drug, called favipiravir or Avigan, has been used in Japan to treat influenza, and last month, the drug was approved as an experimental treatment for COVID-19 infections, Pharmaceutical Technology reported. "There are currently no data showing that Avigan has high efficacy," said Daisuke Tamura, an associate professor at Jichi Medical University specializing in pediatric infectious disease. Chinese researchers say it was “clearly effective” It has been sent out to 42 countries Japanese Prime Minister Shinzo Abe said Monday he wants favipiravir approved for Covid-19 in May, as Japan moves to fast-track approval for remdesivir as well. In sample size of 80 it shortened the length of illness from 11 days to 4 days Also slight improvements later on in CT scan of chest https://www.sciencedirect.com/science/article/pii/S2095809920300631#f0005 Favipiravir versus Arbidol for COVID-19: A Randomized Clinical Trial It was found not to be as effective as favipiravir. But study also says The Chinese government also has a reputation of manipulating research data to suit their needs. Researched Sensors All different types of Sensors: volume, weight, flow https://www.sstsensing.com/7-main-types-of-level-sensors/ Optical level switches Better for small amounts of liquid Flow Sensors- Used to measure the flow of the drug. Calculations need to be done to show when the liquid is done and how long it flows Want to use the autoclavable(reusable) Technical documentation of sensorion mass flow meter SFM 3300 Flow Sensor should be placed on the intake channel valve. See this diagram. Good info above on sensor use in nebulizers^ Anti-Inflammatory Colchicine is a non-steroid anti-inflammatory that comes in liquid form. It is a specialized pro-resolving mediator(SPM) that represents a portion of the omega-3 fatty acid spectrum that has a powerful effect on reducing inflammation. Use in aerosolized form in nebulizer Works Cited “Treatments for COVID-19: Drugs Being Tested against the Coronavirus.” LiveScience, Purch, 9 Apr. 2020, www.livescience.com/coronavirus-covid-19-treatments.html . “Instrumentation.” Pulsar PM, www.pulsar-pm.com/Instrumentation/Product-Types/Level-Volume/Continuous . Duke194715. “Omega Engineering.” lv10, 16 Apr. 2018, www.omega.com/en-us/process-switches/level-switches/float-switches/lv10/p/LV-10?&lid=92700048661953921&ds_s_kwgid=58700005355260684&ds_e_product_group_id=778816890462&ds_e_product_store_id=&ds_e_ad_type=pla&ds_s_inventory_feed_id=97700000007301780&gclid=EAIaIQobChMI-uKgmdy-6QIVhK7ICh2e5ApUEAYYASABEgItz_D_BwE&gclsrc=aw.ds . DeVilbiss Pulmo Aide Compressor Nebulizer Owners Patient Guide, www.americanallergy.com/pulmoaide-nebulizer/devilbiss-pulmoaide-patient-guide.htm . “Global Coronavirus COVID-19 Clinical Trial Tracker.” covid19, www.covid19-trials.com/ . Ksiazek, et al. “Chloroquine Is a Potent Inhibitor of SARS Coronavirus Infection and Spread.” Virology Journal, BioMed Central, 1 Jan. 1970, virologyj.biomedcentral.com/articles/10.1186/1743-422X-2-69. Lanese, Nicoletta. “Could the Anti-Malarial Drug Chloroquine Treat COVID-19?” LiveScience, Purch, 20 Mar. 2020, www.livescience.com/chloroquine-coronavirus-treatment.html . NHS Choices, NHS, www.nhs.uk/medicines/azithromycin/ . “Hydroxychloroquine Uses, Dosage & Side Effects.” Drugs.com, www.drugs.com/hydroxychloroquine.html . Halford, Bethany. “An emerging antiviral takes aim at COVID-19.” 2020, https://cen.acs.org/pharmaceuticals/drug-development/emerging-antiviral-takes-aim-COVID-19/98/web/2020/05 .“EIDD 2801.” New Drug Approvals, 28 Mar. 2020, newdrugapprovals.org/2020/03/28/eidd-2801/. “FDA: Human Trials Can Begin for Emory COVID-19 Antiviral.” Emory University | Atlanta, GA, 7 Apr. 2020, news.emory.edu/stories/2020/04/covid_eidd2801_fda/index.html. “EIDD-2801: Coronaviruses Inhibitor: MedChemExpress.” MedchemExpress.com, www.medchemexpress.com/eidd-2801.html . Cai, Qingxian, et al. “Experimental Treatment with Favipiravir for COVID-19: An Open-Label Control Study.” Engineering, Elsevier, 18 Mar. 2020, www.sciencedirect.com/science/article/pii/S2095809920300631#f0005 . “7 Main Types of Level Sensing Methods – How Do They Differ?” SST Sensing, 4 Mar. 2020, www.sstsensing.com/7-main-types-of-level-sensors/ . “SFM3300 - Mass Flow Meter.” Sensirion AG Switzerland, www.sensirion.com/en/flow-sensors/mass-flow-meters-for-high-precise-measurement-of-gases/proximal-flow-sensors-sfm3300-autoclavable-washable-or-single-use/ . Sensirion. “Single-Use Proximal Flow Sensors.” Medical Design and Outsourcing, 15 May 2017, www.medicaldesignandoutsourcing.com/single-use-proximal-flow-sensors/ . “US8333190B2 - Nebulizer Having Flow Meter Function.” Google Patents, Google, patents.google.com/patent/US8333190B2/en. Rudokas, Mindaugas, et al. “Liposome Delivery Systems for Inhalation: A Critical Review Highlighting Formulation Issues and Anticancer Applications.” Medical Principles and Practice : International Journal of the Kuwait University, Health Science Centre, S. Karger AG, 2016, www.ncbi.nlm.nih.gov/pmc/articles/PMC5588529/ . Cox, David. “Some Patients Who Survive COVID-19 May Suffer Lasting Lung Damage.” Science News, 6 May 2020, www.sciencenews.org/article/coronavirus-covid-19-some-patients-may-suffer-lasting-lung-damage . Puckey, Melisa. “Can Colchicine Be Used to Treat COVID-19 (Coronavirus)?” Drugs.com, www.drugs.com/medical-answers/colchicine-treat-covid-19-coronavirus-3535211/ . Kunzmann, Kevin. “FDA Approves Liquid Colchicine Formulation for Gout.” HCPLive®, 26 Feb. 2019, www.mdmag.com/medical-news/fda-approves-liquid-colchicine-formulation-for-gout . Silverman, Robert G. “Specialized pro-Resolving Mediators: A New Tool for Resolving Inflammation.” Official Media Integrative Practitioner, www.integrativepractitioner.com/about/integrative-healthcare-symposium/specialized-pro-resolving-mediators-new-tool-resolving-inflammation . Ruzer, Lev S, and Naomi H Harley. “Aerosols Handbook.” Google Books, Google, books.google.com/books?id=Sn0hT9jlj9AC&pg=PA249&lpg=PA249&dq=anti-inflammatories%2Bin%2Baerosol%2Bform&source=bl&ots=9Bu0GNMd-h&sig=ACfU3U3nM7_rVQpv5T06PfipLHi5O5WtlQ&hl=en&sa=X&ved=2ahUKEwjrpZSK7MPpAhVZgXIEHQtCDakQ6AEwBnoECAoQAQ#v=onepage&q=anti-inflammatories%20in%20aerosol%20form&f=false. Accomplishments that I'm proud of I am proud of the new innovations to our first hackathon project What's next for An Innovative and Improved Approach to Prevent & Treat COVID new sensors and clinical trials Built With autocad

Innovative and Improved Approach to Prevent & Treat COVID-19

New and improved COVID-19 at home aerosol and oral medication treatment!

['Grace Miguel', 'Kelly DiResto', 'Tara Ravoli', 'Olivia Poplawski']

[]

['autocad']

https://devpost.com/software/trace-hpx8fb

Slide 1 Slide 2 Slide 3 Slide 4 Slide 5 Slide 6 Slide 7 Login Screen Population Density Heat Map Destination Map Single Destination Statistics Activity Log Menu Inspiration COVID-19 is presenting a challenge in how societies can reopen the economy in a safe manner. Our team was inspired by the technological efficiency shown by other countries, such as South Korea, that has provided mechanisms to preserve a lifestyle that more closely resembles pre-pandemic life. Our app strives to provide a data-driven solution that can be easily implemented in daily life to ensure safety and free mobility in the presence of a pandemic. What it does Our app provides solutions for the issue of mobility in the presence of an infectious virus: A solution to avoid crowded areas and a means to de-densify crowds. Users can use the heatmap function to discover crowded areas. These places would be avoided, reducing interaction and preventing rapid spread of the virus. Users can search for places (i.e. grocery stores, pharmacies, etc.) nearby and check the popularity by hour. If a location currently exhibits high popularity, users can choose to go at a less popular time. A solution to assess personal risk for infection. Users will be alerted if they have come into contact with someone who has COVID-19. By checking their activity log, users can check if they crossed paths with a person with COVID-19 (1st-degree interaction) or if they crossed paths with someone who had a 1st-degree interaction. Note: All interactions within the past 14 days of a self-reported infection will be notified. A solution to assess virus-related trends and predictions Users will have access to statistics on total infections, changes in infections, and changes in local mobility. By representing time-series data in a graphical fashion, users can see how infections and mobility has changed over the past week and month. Our machine learning algorithm can effectively predict into the future the number of infections over the course of a week up to a month, giving users tools to make well-informed decisions regarding their safety. How we built it Contact Tracing The contact tracing feature of our application is based not only on location data, but also on Bluetooth connectivity between Trace users. This enables our application to track user activity and user interaction on a granular scale while preserving user privacy. User contact and distance of interaction can be determined by Bluetooth signaling, and as these signal strengths will be determined in the back-end of the application, Bluetooth signals will remain anonymous to Trace users. Although contact tracing is necessary to help keep communities safe from the spread of viruses, we also believe that it is important to preserve user privacy, and this methodology helps us achieve this function. Statistical Analysis Using data gathered by our application and open-source data, we are able to apply a number of statistical methods and models to provide an in-depth, yet digestible, analysis. Currently, we apply machine learning on Google mobility data to model population movement on a county scale, enabling us to analyze how transit trends directly affect infection rates. By implementing user data, we are able to track and analyze trends in communities on a refined scale. In doing so, Trace is able to provide robust models that understand how populations respond to coronavirus and public policies, providing insight on the effectiveness of social distancing. Furthermore, we apply parametric and nonparametric regressions to predict future cases on a local, state, and national scale using transit trends, assisting the development of public policies and helping users assess the risks involved. Crowd Tracking Our map will be implemented using MapBox as our main graphical interface and Google Maps API for search and backend location functions. Using a combination of Google Popular Times data and our own location data generated through the app, we can inform users how many people are populating any searchable location and the best (least popular) times at which to visit. By using our own data, we can direct groups of users to different locations in an effort to minimize crowds at a singular place of interest. Challenges we ran into We ran into a number of challenges when creating our machine learning models. The Google data associated with mobility trends for each county had many missing values, with many missing values occurring in blocks. To remedy this, we assumed a linear trend between the start and the end of each missing datapoint block, and interpolated these values accordingly. In addition, matching this county level data with confirmed cases was surprisingly a challenge. We used the New York Times open source data, and cleaned both datasets to correspond with one another. In addition, we tested various models, which was quite computationally expensive; this was due to applying time series cross validation techniques, such as nested cross validation and rolling windows. In the end, we were able to build a more robust and accurate model which could not only predict cases in the future, but model various changes in mobility and how these modifications in social distancing affect cases of coronavirus. We also experienced challenges in gathering Google popular times data, which was not available through the Google Maps API. Our solution meant writing a web scraper which could process large queries. Accomplishments that we’re proud of As a team, we brought to the table different skill sets and experiences, as each team member contributed their strengths to the project. We are proud of our collaborative efforts to create an application that emphasizes and fulfills the multidisciplinary nature that a solution for COVID-19 requires. Through the span of this project, we were exposed to various challenges as a result of working with real-time data. However, our ability to work with missing values and to validate the datasets allowed us to create a more robust application that is less dependent on user error and incomplete data. What we learned We learned that using Bluetooth to detect close interactions is more accurate than GPS especially when users are inside or in the presence of skyscrapers where GPS location estimates can have a margin of error of around 20 meters. Bluetooth, on the other hand, has an accuracy level on the order of feet. While Google’s Popular Time data provides useful insights into a location's popularity over the course of the day, their figures have yet to take into account massive changes in behavior resulting from the pandemic. We believe that with enough users, our own data will give us a more accurate picture of how many people are frequenting specific locations during the pandemic. We also learned how to develop and test accurate generative machine learning models using various regression methods and cross validation techniques. We learned how to use cross validation techniques and regression metrics to ensure our models were not overfitting, and used ensemble learning to build a robust and scalable model using our unique datasets. What’s next for Trace We would like to finetune our bluetooth technology such that we improve our accuracy for calculating interaction distance. In addition, we would like to refine our statistical analysis and machine learning models to achieve higher efficiency. We hope to build a robust backend and remove the need to scrape any public data, as well as build a scalable system for many users to operate on. Our goal is to upload the app to the Apple App Store and Google Play Store to allow all mobile users access to this analysis. Additional Links Tableau https://public.tableau.com/profile/alexander.liebeskind#!/ Github https://github.com/thomasundo2/trace_ml Sources Google Mobility Data: https://www.google.com/covid19/mobility/ Johns Hopkins Coronavirus Data: https://github.com/CSSEGISandData/COVID-19 The New York Times Coronavirus Data: https://github.com/nytimes/covid-19-data Built With data google johns-hopkins-university-hub machine-learning mapbox new-york-times numpy pandas python python-package-index scipy sigma sklearn swift tableau Try it out public.tableau.com github.com

Trace

Trace is a multifunctional data platform that leverages live population density mapping, contact tracing, and machine learning analysis to help navigate the COVID-19 pandemic.

['Alexander Liebeskind', 'MiHyun Jang', 'Thomas Tran', 'Nikhil Mehta']

[]

['data', 'google', 'johns-hopkins-university-hub', 'machine-learning', 'mapbox', 'new-york-times', 'numpy', 'pandas', 'python', 'python-package-index', 'scipy', 'sigma', 'sklearn', 'swift', 'tableau']

https://devpost.com/software/taku

User Experience Landing Page Profile Dashboard Inspiration Takuo Aoyagi's mathematical formula to reduce noise in pulse oximetry testing. We wanted to do something similar by reducing the noise a patient or caregiver encounters trying to navigate the complexities of screening and diagnostics. What it does Taku is an app/website that allows patients and their caregivers to create a profile and discover the benefits, insights, accessibility, usage, and education around screening and diagnostic products. COVID-19 has brought to light the glory of telemedicine, however it hasn't done much to make it easier for patients to understand. Taku allows users to indicate what stage they are at in the healthcare journey and Taku curates the experience to benefit them from day one. It prioritizes accessibility so it can help patients navigate direct to consumer testing as well as patients under and /or non-insured to discover what resources are available within their community. Once accessibility is navigated then Taku allows patients and their caregivers to record, monitor, and escalate their screening and diagnostic records. How we built it We built the stack by prioritizing data science and comprehension of the user journey. Primary work was leveraging existing stack of google sheets, python libraries, data scrapers, google data studio, bubble.is, react, R, and adobe indesign/ premeire/cloud. Challenges we ran into We needed to produce a complete environment to support the global user journey and design an experience that would allow us to grow beyond the diagnostics/devices we prioritized (pulse oximeters, qt-pcr, antigen, antibody, etc). Lung was the initial organ for our target product profile but by having a comprehensive user journey we are able to scale our environment since the user journey accessing and navigating testing and diagnostics is consistent throughout all of health indications. Accomplishments that we're proud of A team of strangers coming together and over 5 days producing this effort. We are also pretty proud of the UX since none of us are designers, developers, etc. What we learned Change management, project management, collaboration, design thinking, patient centricity, and a little about each other. What's next for Taku We will add more robust functionality to support the complete healthcare journey of users and flesh out the caregiving module we barely scratched the surface on. Drive with all of our assets: https://drive.google.com/open?id=1vyrSBLiqWgwboD6xZNYzVyXmtqOr6Qt_ Built With bubble.is google google-genomic-api google-healthcare-api indesign premeir python r react ruby sheets Try it out takudx.bubbleapps.io

Taku

Taku, helping patients breathe a little easier when it comes to diagnostics and screening.

['Faizah Chowdhury', 'Sonal Tulsyani', 'Karlo Martin']

[]

['bubble.is', 'google', 'google-genomic-api', 'google-healthcare-api', 'indesign', 'premeir', 'python', 'r', 'react', 'ruby', 'sheets']

https://devpost.com/software/solocoin

Home Page Social-distancing timer and Challenges Detailed Rewards Rewards and Coupons Detailed Leaderboards Leaderboards, Milestones, Badges The Inspiration COVID-19 has severely affected the livelihoods of the people around the globe. With people getting infected by COVID each passing day, Consumers have learned to stay home, preserve the money they have, and consume less. However, this affects the economy. Similarly, local businesses have experienced unprecedented losses. For those that have survived this period the possibilities for re-opening, recovery, and growth are limited and possibly bleak. SMBs don't have a sustainable solution through which they can grow their businesses again and recover their losses. Traditional ad-tech channels are broken and without significant investment, any business can't get RoI. But, with inbuilt game mechanics, we can motivate people to purchase and help SMBs advertise their product without any upfront investment. So, the perfect way to help both sides of the community SMBs and making it fun for people suffering to help the SMBs is gamification. I’m a co-founder of a Blockchain gaming company. I (Arbob) have a lot of experience in implementing game mechanics inside consumer apps. So, I thought, why not apply the same gamification techniques I implement in blockchain into a consumer app to encourage people to do a task based on their location, spend more and help SMBs in economic recovery. So I started to scout for members in hackathon channels and got an amazing team to build this idea. What it does SoloCoin is an app that rewards users in virtual coins based on their location. Currently, to engage in social-distancing, based on their location to their home. It's basically an app that rewards users according to their proximity/location. (using the tech of GPS, Geofencing, and Accelerometer - to track whether the phone is put on idle or not - awards will be rewarded only when the user is using the phone). If their smartphone is within a certain radius (~20m) to a reward hotspot (Geofencing reward location), then the app will reward them with virtual coins that they can later redeem for "Partner Coupons". These partners can be SMBs, Local businesses, and any online B2C businesses from E-commerce, Entertainment, Lifestyle, Health, etc. Our app rewards, nudges, and drives beneficial consumer behavior. This will help post-COVID to accelerate economic recovery in local communities. They can also compete with nearby players for achievements and badges which they can later share with their friends. The global ads market is $600B+ with digital advertising accounting for $220B+. But there is a niche in hyperlocal digital-ads where specifically no-one has targeted their solution. Just in India, $650B is the size of traditional retail shops. Simple and Engaging Advertising needs of such a big segment of the market will create an ad-tech boom in the hyperlocal sector in India. We can be at the forefront of this market in the next 5-7 years. How we built it? When Arbob had the idea, he started building it on Python's Beeware toolkit which ports python code to a native mobile app. Then, he started to scout for members across hackathons. Since the idea was innovative and exciting, many amazing people joined his team. then the team decided to make it on native android and iOS directly for better usability and support. We have a group of open-source collaborators from around the world including startup founders & CXOs, people from IITs, BITS, Stanford, Microsoft, Uber, Github, Neuro-Researchers and more among our community, with expertise in Frontend (android-studio, Java, Kotlin), Backend (rails+postgresql | RDS) mobile development, Marketing, Product and Design (Adobe xd), etc. AWS is the cloud service provider with authentication from Firebase and Maps from google. The product is built 100% remotely. Challenges we ran into The first challenge was finding good team members with relevant expertise. But, we got through with it thanks to our hard work and to the volunteers joining because of the innovative nature of the product. Management of tasks. To tackle this issue, we created a Trello and GitHub task board for better collaboration. * One thing I've noticed while building our product is the founder's vision for the product is very important. When I first pitched the idea of SoloCoin, I was alone. But the idea was innovative and has never been done before. The vision I put to gamify social-distancing resonated with people and that helped us in getting amazing people with great skills from all over the world to voluntarily work on my idea without any financial incentive. People were and still are excited every day they wake up to build and scale the product. And, that's how from an idea it became an MVP and then a working product. * Accomplishments that we're proud of The clarity in our concept. Innovative approach towards social-cause using gamification. 1000+ sign-ups for the app launch. 5000+ user visits since the website launch. The prototype was done in 3 days. Beta Launched in Play Store. Positive feedback and support from across the community, both tech and non-tech. Influencers asking to promote our app for FREE. Many top-level government officials agreed to promote our product in their network. Partnerships for reward coupons. Partnerships with multiple influencers. An amazing team of 20+ open-source collaborators. 100% remote. Tackling a greater cause to eradicate COVID-19 from the face of the earth through gamified social-distancing. Won India’s largest COVID Hackathon - CODE19. Won World's largest COVID Hackathon - EUvsVirus. Incubated in European Innovation Council's business accelerator and Central European University's Innovation Lab. What we learned Clear documentation from both product and development perspective for faster user onboarding. The idea of making a difference motivates a person more than money. Distribute department leads early on to avoid clashes among members. We were lucky that we did it early on. Single design philosophy to avoid misalignment of colors, content that is being pushed on the internet for promotion and visibility. Don't let negative people come anywhere near your extremely positive and passionate team. Take care of your team. Regular motivation and clear communication are very important when managing a remote team. Just like you can’t expect 9 women to give birth to a baby in 1 month, you shouldn’t expect 10 developers to build a product of a global scale in a day. Ideas are the most valuable asset to any startup. That's why we have a dedicated #ideas channel our discord for people to post ideas that can help improve our product. Till now we have received 20+ ideas since the project's inception. Planned Revenue Model Brands pay us for promoting their deals via Rewards. Sponsors will pay us to get their rewards listed on our app. Like if a new e-commerce startup wants better visibility of their product, they can pay us some fee and get their brand coupon listed on our app, which users can redeem for coins and purchase stuff from their website. Sponsored badges and goals. For e.g.When someone redeems the coins for Amazon Coupons they’ll get an “Amazon Badge of Honor” which they can share in their social media. Sponsored Daily/Weekly/Monthly Rewards via Challenges Location-based targeted ads for grocery, medicine, and other necessities. Later we can open it for a broader audience and sponsors. Subscription model for faster coin generation. Impact of SoloCoin SoloCoin will have a massive impact on the reduction of COVID-19 transmission and on society as a whole. Some of them are: Impact on the society - It is a “simple way” for citizens to do their part, practices social distancing, and get real economic rewards and esteem awards to show they stood up to the challenge! They can be proud of themselves. Impact on Public Health Officials: Public Health Agencies can get access to anonymized data insights from our app to help form better messaging to inform/educate the public. ‘ Impact on Partners-Sponsors: Coins can be exchanged for exciting "Partner coupons". These partners can be SMBs, Local businesses, and any online B2C businesses. Our app rewards, nudges, and drives beneficial consumer behavior. This will help post-COVID to accelerate economic recovery in local communities and help get their businesses on track. Impact on People-driven Health and Wellness: having an all-access platform for behavioral change with people from all around the world will help support post-COVID measures, promoting healthier physical, mental, and social behaviors. What's next for SoloCoin? Making this a global app with partner support. Rewarding for good habits like washing hands, timely self-isolation, Yoga, etc. Determining efficient/less crowded routes for commuting and avoiding people. Give users the possibility to chat with nearby quarantined people. Map list of nearby available essential stores for groceries, medicines, etc. Adding an anonymous user authentication system. Give users the possibility to add a mask to their profile picture to tell people they are practicing social-distancing. What after COVID ends? We have identified many ideas on what we can do with our tech post-COVID. Some of them are: Our app can be used for concerts/stores, basically to gather people. The more they stay the more they earn. That way sponsors will get better revenue as well. Chat with friends, hang out, and earn rewards as you have a good time! Real-time location tracking automatically detects when you and friends are out and about, so you can passively earn points all day. Use group messaging and location sharing to stay in touch with your friends at any time. Emergency contact features let you get in touch with your circle whenever you need a helping hand because friends watch out for each other! At the current stage, the app is used as a Social-distancing app with "Home geo-fence". After COVID, we can increase the geo-fence to multiple locations like "rewarding concerts, malls, local stores, etc." Our app can be used for concerts/stores, basically to gather people. The more they stay the more they earn. That way sponsors will get better revenue as well. Our app rewards, nudges, and drives beneficial consumer behavior. This will help post-COVID to accelerate economic recovery in local communities. Now if you think about it we're venturing into not a consumer app space but rather "Ad-tech" space. Our app can now be at the forefront of "Hyperlocal based targeted ads", basically directly competing with Google's and Facebook's Pay Per Click. Shopping is fun in real life. You can go with friends, treasure hunt for bargains, discover new products, better understand a brand’s vibe, ask store reps questions, and also touch and feel items so you have more confidence you’re going to love it. The shopping revolution we bring will COMBINE ecommerce and entertainment, where both are equal in importance. Toss in gamification and boom. We may see waves of new brands and more pricing transparency for everything... products and services, alike. We can gamify people’s entire lives, everything they do, with the tech and 20+ sensors present in smartphones. Our vision is for a healthier, happier, COVID-19-free world and we can't wait to launch this app in the global market and help make the world a better place. You can also look at our Product Roadmap for the present and the future to get an idea of where we are headed. App Demo Video can be found here Built With amazon-web-services android-studio firebase geo-fencing google-cloud google-maps java postgresql ruby-on-rails Try it out xd.adobe.com www.solocoin.app github.com drive.google.com docs.google.com play.google.com

SoloCoin

Get rewarded to shop locally with your friends. Helping SMBs and local businesses towards economic recovery and recoup their losses due to COVID.

['Arbob Mehmood', 'Adesh Bhansali', 'Aditya Sonel', 'Aayush Patni', 'Vijay Daita', 'Narayani Modi']

['Challenge Winner']

['amazon-web-services', 'android-studio', 'firebase', 'geo-fencing', 'google-cloud', 'google-maps', 'java', 'postgresql', 'ruby-on-rails']

https://devpost.com/software/remote-learning

Inspiration Due to the coronavirus pandemic, most schools have closed and moved to online learning. This led to many challenges such as difficulty engaging and providing materials. Students are more used to in-classroom learning and they can lose motivation to do school work. For this reason, we have built a platform that allows teachers to quiz, test and engage with students in a new way. What it does Users can create private rooms and invite others via a shareable link. No sign-up is required, the user simply enters their full name to join a room. Everyone in the room can communicate in real-time, the room creator can create challenges for others to participate in. Challenges range from questions, multiple choice, whiteboarding and sketching. Once the timer has ended, all students are able to see the correct answer, everyone's answer and how they did. You can use RemoteLearning with anyone, co-workers/students/friends etc. It benefits any group of people who are looking to learn and collaborate together. How I built it Websockets was used as the core bone behind the application, it supports messaging, challenges and syncing data. Challenges I ran into At the start, the idea was integrate a video chat similar to Zoom, however due to some technical challenges we decided to put it aside and develop an MVP with the core features (challenges). Accomplishments that I'm proud of We have implemented the application, deployed to production and is ready to use. The real-time syncing works pretty well when creating challenges and interacting with other users, however this has only been tested on devices on the same network. There could be issues when using it across the global, we will be on it when that happens. What I learned Integrating real-time data using Websockets and WebRTC. What's next for Remote Learning Continue adding features and improving the platform, send it to users, schools and share it around. Built With node.js react webrtc websockets Try it out remotelearning.space

Remote Learning

RemoteLearning aims to put the offline classroom into the digital world and allows teachers and students learn together even if they are not in the same room.

['Sami khalil']

[]

['node.js', 'react', 'webrtc', 'websockets']

https://devpost.com/software/the-odor-of-covid

Inspiration The virus is an invisible enemy. Anyone can be the source of other people's infection. We need to cut that chain of spread by making the virus visible and prepare ourselves. THE SCENT OF COVID19 wants to detect the presence of the virus through the analysis of people's breath. () We will defeat the virus by making it visible. While the Covid-19 widespread is plateauing in some countries, governments are actively looking for solutions for the so-called "phase 2" to lower the lockdown. This is a critical moment, where measures to avoid a new burst are necessary. In light of this, we have concentrated our effort into designing a solution to detect the COVID19 through a sensor that is accessible and easy to deploy. What it does The aim of the Project is to define the breathprint characterizing COVID19 at different stages of the pathology (healthy people VS without clear symptoms VS with symptoms) in order to use the data collected for the development of a fast, reliable and sensitive diagnostic method. This aim can be achieved with the analysis of VOCs in people's breath through a DIY sensor. Practically it would be accomplished through: A low-cost DIY kit consisting of a VOC sensor array, a controller card and a mobile application. A platform to share this kit, with financial resources so that companies can build it themselves and provide to the distribution. An open database that concentrates all these data, anonymized and standardized. A neural network that analyses these data, contrasting the VOCs of the breath and your health status, to determine the respiratory footprint of the COVID19 at different stages of the infection. With this kind of information it will be possible to use the DIY as a diagnostic instrument: according to its breathprint, in fact each person performing the test will be assigned to a predefined category. In this way It will be possible to rapidly distinguish healthy subjects from asymptomatic ones. How we build it The biomarker of COVID19 in respiratory air is not known. Through a campaign of testing of people with and without the symptoms of the pathology, carried out through the Kit that detects VOCs from expired air, it is possible to generate an open database. Analyzed through Artificial Intelligence algorithms, perfected through the KAGGLE platform, the aim is to search for the virus' footprint at different infective stages. This will lead to the determination of the parameters that will be used for non-invasive diagnosis of the population. Challenges Identify the VOCs (volatile organic compounds) that the body generates when it is infected with COVID19 Develop a device capable of detecting this VOC Develop the DIY kit (array of VOC sensors) Find volunteers who want to make the kit, test it and send the data Generate a quick iteration of the solution -where needed- according to initial test results Finding a means of financing, to facilitate the manufacture of the kits Develop an AI algorithm that finds the virus' VOC breathprint in exhaled air Train the AI model as quickly as possible in order to start generating reliable predictions. Looking at the economic crisis caused by the coronavirus, a business model that allows a way of constraining the price of the solution is needed so that people without the means to buy the DIY kit could have access to it. Need for quick and reliable distribution. Accomplishments that I'm proud of THE SCENT OF COVID19 Achieving a fast, cheap and simple methodology that can detect the virus in asymptomatic patients, to anyone and anywhere. Being able to build an effective approach that is accessible, as well as easy to distribute, making it available to as much people as possible so that we can make a positive difference in this Covid19 crisis. What I learned We have seen the amount of dispersed and disconnected information about the COVID. We have learned about VOC biomarkers from people's breathing air and the sensors to detect them. That the only way to know and beat this virus is through collaborative knowledge, the one we have had and the volunteers who test the kit and the optimizers of the algorithm. What's next for Developing the kit Testing Building partnerships and implementing a commercialisation strategy: Via funding or sponsorship of the DIY kits with public authorities as well as private organisations (which are actively looking to collaborate in CSR plans). Via crowdfunding: buy one-donate one campaign Via partnership: similar to sponsorship but in this case joining forces with hardware providers to launch a constraint price quickly Dissemination Developing marketing channels: website, social media... Connecting with the +800 NGOs, foundations, associations, and civil society groups, universities and public authorities linked to the panEU hackathon Distribution kickoff Built With algorithms.io hardware kit machine-learning open sensor share-online web Try it out 1drv.ms www.smasp.org www.youtube.com

THE SCENT OF COVID19

Developing a device to identify COVID disease through breath analysis using sensors.

['Alberto Jose Arenillas', 'ANITA MONTEVERDI', 'Celestine Lawrence', 'Anna Valli', 'Razvan Valceanu']

[]

['algorithms.io', 'hardware', 'kit', 'machine-learning', 'open', 'sensor', 'share-online', 'web']

https://devpost.com/software/covid-health-tracker

Inspiration The COVID FRONTLINERS What it does A System that Tracks down person in contact with COVID positive How I built it It is a tracker system for tracing person who are in contact with positive COVID cases Challenges I ran into Knowledge, skills and Teamwork Accomplishments that I'm proud of What I learned What's next for COVID HEALTH TRACKER A system that can be used in the future health care Built With covid health

COVID HEALTH TRACKER

A tracking system for person who are positive cases to track other person in contact.

['Maria Leonore Ares']

[]

['covid', 'health']

https://devpost.com/software/healing-frequencies-mix

Electromagnetic frequency healing for coronavirus(covid-19) Inspiration Audio frequencies mixing What it does Helps healing of Covid-19. How I built it Mixing audio frequencies using Mozilla and audacity to record. Challenges I ran into Choosing the correct frequencies. Accomplishments that I'm proud of The mix is high quality and all the frequencies can be heard. . What I learned How to record in high quality sound without distortion of frequencies. What's next for Healing frequencies mix I hope many people will find it useful to fight the infection. Built With audacity mozilla Try it out audiomack.com

Electromagnetic frequency healing for coronavirus(covid-19)

Listen to this mix everyday to reduce the risk of coronavirus infection.

['Radostin Peev']

[]

['audacity', 'mozilla']

https://devpost.com/software/covidprob

Homepage Low Risk Score Moderate Risk Score High Risk Score Inspiration COVID 19 was discovered in December, last year in Wuhan. It has already been months but no vaccine or drug to fight against COVID-19 has been discovered. In these tough times, if we can even detect the disease beforehand, it could help a person contact the medical officials in time and diagnose and get treated in time. What it does It gives you an estimate of the probability of how much is a person infected with COVID-19. The parameters for the prediction is the list of symptoms. How we built it Technology Stack Front-end 1. HTML 2. MaterializeCSS 3. JavaScript Back-end 1. Django web framework **UI-Kit** * Figma Challenges we ran into Gathering the dataset according to symptoms was the toughest part. As the raw dataset which we obtained had to be cleaned, we had to deal with missing data, too. Accomplishments that we're proud of Building this web app in a short amount of time really made learnt a lot of things. What we learned How to use various algorithms of Scikit-learn library. Getting hands-on with the Django framework. What's next for COVIDprob To gather more data to increase the accuracy of our model Built for the Innovative Website 2020 Competition. This website was built by Sagar Banik and Sumit Banik Built With django figma materialize-css scikit-learn Try it out covidpred.herokuapp.com github.com

COVIDprob

COVIDprob is an early detection tool to get infected with COVID-19 using the symptoms as listed by World Health Organization (WHO).

['Sumit Banik', 'Sagar Banik']

['Most Innovative Website']

['django', 'figma', 'materialize-css', 'scikit-learn']

https://devpost.com/software/virtual-health-checkup-modelling-of-coronavirus-technoband

Technoband Software Modelling of Future conditions of CoronaVirus Inspiration Daily surge in cases, health conditions of citizens pushed me to work hard What it does It predicts the curve of future conditions of any country w.r.t. data set available How I built it I built it through software, that have been mentioned. Challenges I ran into Lots of challenges, but overcomes and got the results as expected Accomplishments that I'm proud of That I did something, which satisfies and help at least one citizen, then the chain will follow up. What I learned I learned new softwares, skills What's next for Virtual Health Checkup|Modelling of CoronaVirus|Technoband If got success, wanna make it open source. Built With arduino c++ embedded matlab python webex

Virtual Health Checkup|Modelling of CoronaVirus|Technoband

Future prediction with Virtual checkup online and Smart electronic band

['Shreyansh Pagaria', 'Maor Mashiaxch']

[]

['arduino', 'c++', 'embedded', 'matlab', 'python', 'webex']

https://devpost.com/software/covidseek

Inspiration Since the beginning of this pandemic, many people globally are in a state of confusion and panic. Many healthcare systems need a way to allocate resources properly based on the density of the pandemic. Furthermore, many people do not know when this virus will keep spreading. We built COVIDSeek to answer these problems through providing an accurate visualization and predictions/forecasts of the pandemic. What it does COVIDSeek is a web application that connects people and healtchare systems through accurate information, and predictive analytics. Users enter their location to see a density heatmap of the virus on an international scale, which is also useful for medical practitioners and the healthcare system. They also will see the specific number of cases and deaths in their respective area on a given day. Finally, they are provided with a forecast of what cases might rise/lower to in the next 1-2 months. How we built it On the front end, we used html, css, and javascript through the bootstrap web framework. On the backend, we first use the google-maps api in python (through gmaps) to visualize the heatmap, and we passed this into an html file. Furthermore, we used Flask to serve the json data of the cases and deaths (across the world) to our front end, and SQLAlchemy as a way of storing data schema in our database. We use the FBProphet library to statistically forecast time-series data and future cases through Bayesian analysis, logistical growth, and predictive analytics, by factoring in trend shifts as well. Challenges we ran into We ran into challenges regarding the visualization of the heatmap, as well as the creation of our forecasting algorithm, as we didn't have much experience with these areas. Furthermore, serving some parts of the data to the front-end from Flask had some errors at first. It also took time to assemble data into a consolidated file for analysis, which was a bit hard in terms of finding the right content and sources Accomplishments that we're proud of We are proud of how much progress we've made considering how new we were to libraries such as FBProphet and Flask, and the unique, special, and effective way we learned how to implement it. We learned how to create opportunities to benefit different areas across the world through data analytics, which is something that we're very proud of doing. What we learned In terms of skills, Aryan learnt how to develop his front-end skills with Bootstrap and using different ways of styling. Shreyas also developed his front-end skills while working with Aryan to structure the front-end, as well as finding new skills in learning Flask and the Gmaps API. We learnt that there are numerous ways that an individual can help the world around them through computer science. What's next for COVIDSeek In the future, we want to add a user-interactive search bar that places a marker on their location and zooms into the map, as well as a way for users to report symptoms/cases on the map. We also want to add more features, such as nearby testing sites, hospitals, as well as nearby stores with a certain amount of resources that they might need. Overall, we want to make this web app more scalable worldwide. Built With bootstrap css3 fbprophet flask google-maps html5 javascript matplotlib numpy pandas python sqlalchemy Try it out github.com

COVIDSeek

Serving healthcare systems and people through accurate data tracking, visualizations, and forecasting of the coronavirus

['Shreyas Chennamaraja', 'Aryan Agarwal']

[]

['bootstrap', 'css3', 'fbprophet', 'flask', 'google-maps', 'html5', 'javascript', 'matplotlib', 'numpy', 'pandas', 'python', 'sqlalchemy']

https://devpost.com/software/patient-health-history-record-system-f8iyxt

Screens Maps Control of epidemics - Patient Control - Control of Vaccination Campaigns - Expert needs control by location - More reliable and secure data according to the new personal data protection law - More objective targeting of public health policy - Faster reaction to public health emergencies - Doctors with access to all health history and with more accurate patient information including emergency care - Patients with an updated and accessible health history when they need medical care - Public authorities using mathematical models to make projections with greater reliability - Patients using mathematical models to make projections and personalized predictions - Access to vulnerable population to technologies given only to people with private health insurance - Access to information of people using private health insurance by the government - People who have a private health plan and switch to the public health system without losing data - More accessible and reliable data than in DATA SUS - Data held by patients - Data released only for those patients who wish to access - Health History x Digital Health Record - Simplification of the database used today using data lake methodology Built With datalake flutter ionic react Try it out github.com

Patient Health History Record System

We have developed a project for the public health area that aims to serve the poorest population.

['Jose Alexandro Acha Gomes']

[]

['datalake', 'flutter', 'ionic', 'react']

https://devpost.com/software/crowd-management-system-cms-hgfbdi

homepage login page shopkeeper interface customer feed page Inspiration This idea first came into my mind when one day i went to nearby grocery shop during lockdown and found crowd of people there and then i thought about managing this crowd and maintaining social distancing among the people at public places,shops,etc. by means of an online system. What it does In this system there are 2 types of users 1->customer 2->shopkeeper A customer can follow the shop through shop id and get the information of number of customers present at that shop and whether the shop is open or closed in its feed. Then the customer can make a decision depending upon on the number of people present at that shop before going to that shop. On the shopkeeper's side, a shopkeeper has to update the number of customers present at shop by clicking increase or decrease buttton , and shop status(open or close) by clicking a button.This change will reflect at customer's page each time customer logs in or refresh the page. How we built it We have built it using php and somewhat javascript as a back-end language and for front-end we have used html5,css and bootstrap. SQL is used for database management. Challenges we ran into As this is our first hackathon so implementing the idea into the code keeping ease of using the system by end users in mind is a bit challenging for us. Also we have faced some technical issues during deployment of system online from localhost(offline) Accomplishments that we're proud of We are gladful that during this situation of COVID-19 pandemic throughout the world we have developed a system which can help the society in fighting with the problems which arised in the society due to the corona virus outbreak. What we learned As this is our first hackathon project so we have learned a lot while developing this system both in field of coding and implementation of idea through coding. What's next for Crowd Management System (CMS) Currently we are thinking to keep maintaining the project by adding new features to it such as otp verification on customer or shop registration, location based recommendation system for customers which recommends nearby shops,banks,grocery and medical shops, railway stations, airport ,etc. also making it more simple and more informative for the users in terms of its ease of usage. Built With ajax bootstrap css3 html5 javascript jquery php Try it out newnormal-cms.atwebpages.com github.com

Crowd Management System (CMS)

This project helps shop owners and managers in managing crowd of customers at their shops which in turn helps in maintaining social distancing at public places

['Prakhar Kapoor', 'Aditya Raj']

[]

['ajax', 'bootstrap', 'css3', 'html5', 'javascript', 'jquery', 'php']

https://devpost.com/software/home-health-care-patients-tracking-application

Home Health Care Mobile Home Health Care Sample Decision Support System COVID-19 Risk Prediction Tool Salesforce The follow-up of Home Health Care and elderly patients is not made digitally and home health data is not processed data. This makes it difficult for the elderly patient to follow the situation. Healthcare professionals are obliged to learn the examinations, drugs and patient status previously applied to the patient during the patient visits. With the current COVID-19 outbreak, patient visits have decreased considerably. Since the patients in this group are in the highest risk groups of COVID-19, hygiene requirements during the visits complicate the maintenance procedures. In addition to this situation; Symptom monitoring of home care patients, people in the geriatric class (65 years and older) and potential / recovering COVID-19 patients should be done remotely. First of all, the information necessary for the follow-up of home health care patients was prepared for information entry in the Android environment. Improvement was made in the Salesforce environment to retain the data. A website was prepared in RStudio environment by developing an AI based model for monitoring the health status of home health care patients. For the COVID-19 symptom follow-up, the data of 22,000+ COVID-19 patients were processed all over the world, and an website was prepared in RStudio environment. The biggest challenge we face is to find anonymous data that we will use for decision support systems and to clean and make the data available. In the later stages of the project, video speech, voice recognition and sensor and smart watch (Apple Watch) integration will be supported. Built With android api css flutter html java r rstudio salesforce Try it out dveshealth.com twitter.com www.linkedin.com www.instagram.com dveshealthai.shinyapps.io dveshealthai.shinyapps.io drive.google.com

HOME HEALTH CARE PATIENTS TRACKING APPLICATION

DVESHealth provides AI based home health & elderly care decision support and monitoring mobile / web / cloud solutions.

['Berna Kurt', 'Mustafa Aşçı', 'Asım Leblebici']

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['android', 'api', 'css', 'flutter', 'html', 'java', 'r', 'rstudio', 'salesforce']

https://devpost.com/software/my-journal-for-web

My Journal Input Screen COVID-19 Case Report (Pain & Fatigue) COVID-19 Case Report (Temp & Sp02) COVID-19 Case Report (Cough) Health Log User Login / Registration ( Tip: If you do not wish to register, use Username: demo Password: demodemo ) Inspiration I have a condition called Myalgic Encephalomyelitis/Chronic Fatigue Syndrome (ME/CFS) . I discovered that tracking my biometric data on paper or on existing applications was very difficult, so I wrote My Journal . I soon realized with simple modifications, My Journal could be used to help people with other illnesses, such as COVID-19. To learn more about ME/CFS , please read my blog: https://wisdom4.me Is there anything you find extraordinary about the project? For people with complex chronic illnesses like myself, My Journal can be life changing. It empowers the user to take charge of their health by making collaboration with healthcare professionals safer and much more efficient. I imported two years of my collected data into My Journal and I immediately gained valuable insight into my health. What it does I created My Journal to help people to track day to day symptoms and vital signs. My Journal's reports can show the historical trends of an individual's health condition over time. This information can easily be shared with doctors to help with (onsite or remote) screening and diagnosis. How I built it The frontend is implemented using HTML and Javascript utilizing jQuery and Google Chart. The backend is written in PHP on the LAMP stack running on the AWS cloud. Challenges I ran into I had to do quite a bit of research to learn the APIs required to build my web application. Accomplishments that I'm proud of I have created an application that I believe will be able to help people like myself that have health conditions that make them vulnerable to infection. Developing My Journal for different platforms has been a rewarding experience. What I learned I learned about the nuances of chronic illness by speaking with doctors and patients. I expanded my skill set by learning new APIs. What's next for My Journal for Web I hope to continue development of My Journal and ultimately share it with people all over the world. It has been a very useful tool for me and the management of my health. Built With amazon-web-services google-chart javascript jquery mysql php Try it out wisdom4.me

My Journal for Web

MyJournal is a daily health/symptom tracker. It is used to store and analyze user-generated input to give longitudinal views of data for health professionals to aide in diagnosis or to track progress.

['J M']

['Highlighted Project']

['amazon-web-services', 'google-chart', 'javascript', 'jquery', 'mysql', 'php']