🥼 WhiteCoatAI

An AI-powered medical analysis platform that transforms prescriptions, lab reports, and doctor's notes into simplified summaries, visual charts, and a chat-based interface using LLMs.

🔧 Features

• 📁 Upload support for PDF and TXT medical documents
• 🧠 LLM-powered report summarization using Google Gemini
• 📊 Automatic visualization of lab results and health metrics
• 💬 Chat interface for asking questions about uploaded reports
• 📋 Searchable report history with downloads and statistics

⚙️ Setup

1. Clone the repository

2. Create a .env file with your API keys:

   GEMINI_API_KEY=your_google_gemini_api_key MONGODB_URL=your_mongodb_connection_string

3. Install dependencies:
   pip install -r requirements.txt

4. Run the app:
   streamlit run app.py

🧪 Usage

• Upload your medical document through the sidebar
• View an AI-generated summary in simple language
• Explore auto-generated charts for vital signs, blood work, etc.
• Ask health-related questions based on your document
• Browse and manage previously uploaded reports

📁 File Structure

• app.py – Main Streamlit interface and logic
• db.py – MongoDB handlers (save, retrieve, search)
• .env – API keys (not tracked in git)
• requirements.txt – Python dependencies

📌 Notes

This is a prototype/demo application intended for educational and research purposes.
Always consult a qualified healthcare provider for medical advice.

Here is the link to the website: https://whitecoatai-2xizuifvkdg64cgjvvk9kc.streamlit.app/