MediClick - Premium AI Medical Assistant

MediClick is a state-of-the-art medical chatbot built using Retrieval-Augmented Generation (RAG). It leverages LangChain, Pinecone, and OpenRouter (Claude 3 Haiku) to provide accurate medical information based on trusted medical literature.

🚀 Features

• Premium UI: Modern, responsive interface with glassmorphism and smooth animations.
• RAG Powered: Fetches context from a specialized medical knowledge base (PDF).
• OpenRouter Integration: Uses Claude 3 Haiku for intelligent, cost-effective responses.
• Pinecone Vector DB: High-performance similarity search for medical context.

---

🛠️ Tech Stack

• Frontend: HTML5, CSS3 (Custom Premium Theme), JavaScript (jQuery)
• Backend: Flask (Python)
• LLM: Claude 3 Haiku (via OpenRouter)
• Orchestration: LangChain
• Vector Database: Pinecone
• Embeddings: HuggingFace (MiniLM-L6-v2)

---

🏃 How to Run?

Prerequisites

• Python 3.10+
• Pip (Python Package Manager)

Step 1: Clone the Repository

git clone https://github.com/chanchal6232/Medical-Chatbot.git
cd Medical-Chatbot

Step 2: Create a Virtual Environment

python -m venv venv

Step 3: Activate the Virtual Environment

• Windows:

  .\venv\Scripts\activate

• Linux/Mac:

  source venv/bin/activate

Step 4: Install Dependencies

pip install -r requirements.txt

Step 5: Configure Environment Variables

Create a .env file in the root directory and add your credentials:

PINECONE_API_KEY="your_pinecone_key"
OPENROUTER_API_KEY="your_openrouter_key"

Step 6: Store Index (Optional)

If you need to re-index the medical data from the data/ folder:

python store_index.py

Step 7: Start the Application

python app.py

Now, open your browser and navigate to: http://localhost:8080

---

📁 Project Structure

• app.py: Main Flask application.
• store_index.py: Script to upsert PDF embeddings to Pinecone.
• src/: Core logic, helpers, and prompts.
• static/: Modern CSS and assets.
• templates/: Chat interface HTML.
• data/: Source medical documents (PDFs).

---

🤝 Contributing

Feel free to fork this project and submit pull requests for any enhancements!

📜 License

This project is licensed under the MIT License.