Create README.md

README.md

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-title: ResuMate.IO
-emoji: 🏃
-colorFrom: yellow
-colorTo: yellow
-sdk: streamlit
-sdk_version: 1.21.0
-app_file: app.py
-pinned: false
+title: >-
+  ResuMate.IO - Transforming the recruitment and staffing experience through
+  Generative AI
 ---
+What is ResuMate.IO about?
+ResuMate.IO uses free and open-source Langchain and LLM technology to assist with recruitment and staffing challenges. It can extract information from a resume, including text extraction from PDF, Word, and PowerPoint files, summarization of the resume, extraction of candidate name(s), extraction of key technical skills, and calculation of similarity between job description and resume. The app also allows users to upload a job description and ask questions about the resume using a question-answering model.
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+What makes ResuMate.IO different from other similar products?
+This app offers a few unique features:
+
+Extraction of candidate name(s) from resume text
+Extraction of key technical skills from resume text
+Calculation of percentage match between job description and resume
+The ability to answer user's questions
+While there are likely other tools and apps that offer some of these features, ResuMate.IO combines them into a single package, which could be helpful for recruiters or hiring managers who want to quickly evaluate resumes. Additionally, the use of advanced natural language processing models like Langchain, BART, BERT, and SentenceTransformer could potentially result in more accurate and insightful analysis than other tools that rely on simpler keyword-based approaches.
+
+What techstack / algorithms does ResuMate.IO use?
+The app is built using the Streamlit library for the UI, the PyPDF2 and docx libraries for text extraction from PDF and Word files, the PowerPoint library for text extraction from PowerPoint files, the spaCy library for natural language processing, and the Hugging Face transformers library for the generative AI models.
+
+How is ResuMate.IO currently deployed?
+The app is deployed the app on Streamlit Community Cloud (zero-cost). Given it’s a free cloud service, there is limitation on resources – RAM 1 GB (the app may run slowly under heavy load).