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## Technologies Used
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- **Framework**: Streamlit
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- **AI Models**: Open-source trained models for health predictions
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- **APIs**:
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- Google Gemmini API
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- Groq API
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- **Libraries**:
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- `streamlit`
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- `google-generativeai`
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- `python-dotenv`
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- `langchain`
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- `PyPDF2`
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- `chromadb`
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- `faiss-cpu`
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- `langchain_google_genai`
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- `scikit-learn`
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## Setup Instructions
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Make sure you have Python installed on your machine.
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### Prerequisites
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- Python 3.7 or later
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- pip (Python package installer)
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### Step 1: Clone the Repository
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Open your terminal or command prompt and run the following command to clone the repository:
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bash
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git clone <your-repo-url>
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cd <your-repo-name>
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### Virtual Environment
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1. Create a virtual environment: python -m venv venv
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activate the env : venv\Scripts\activate
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Install the required packages: pip install -r requirements.txt
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"Run the Application"
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To run the Streamlit application, use the following command: streamlit run app.py
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title: AI-HealthCare-Portal
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emoji: π
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colorFrom: blue
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colorTo: pink
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sdk: streamlit
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sdk_version: 1.8.0
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app_file: Home.py
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pinned: false
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---
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# Your Space Title
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Brief description of what your Space does.
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