Medical Research Assistant

An AI-powered medical research analysis tool that provides daily updates on medical research trends, clinical trials, and research papers.

Features

• Daily automated updates of medical research trends
• Clinical trial analysis
• Research paper summaries
• Interactive query system
• MongoDB integration for data persistence
• Scheduled updates with automated reminders

Tech Stack

• Backend: FastAPI, MongoDB, LangChain, Google Gemini
• Frontend: React, React Bootstrap
• Database: MongoDB Atlas
• Deployment: Render.com

Local Development

Prerequisites

• Python 3.9+
• Node.js 16+
• MongoDB Atlas account
• Google Gemini API key
• PubMed API key

Backend Setup

cd backend
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate
pip install -r requirements.txt
cp .env.example .env  # Then edit with your API keys

Start the backend:

uvicorn src.api.main:app --reload

Frontend Setup

cd frontend
npm install
cp .env.example .env  # Then edit with your API URL

Start the frontend:

npm start

Deployment

This project is configured for deployment on Render.com.

1. Fork this repository
2. Create a new Render account
3. Connect your GitHub repository
4. Add environment variables in Render dashboard:
   • GEMINI_API_KEY
   • PUBMED_API_KEY
   • MONGODB_URI

API Documentation

When running locally, visit: http://localhost:8000/docs

Environment Variables

Backend (.env)

GEMINI_API_KEY=your_key
PUBMED_API_KEY=your_key
MONGODB_URI=your_mongodb_uri

Frontend (.env)

REACT_APP_API_URL=http://localhost:8000

Contributing

Pull requests are welcome. For major changes, please open an issue first.

License

MIT