An AI-powered medical chatbot that allows users to upload medical images and receive AI-generated insights based on their queries. The application integrates FastAPI for backend processing, Tailwind CSS for a modern UI, and Groq's Llama-3.2 Vision API for AI-based image analysis.
Upload an image for medical analysis. Ask a medical-related question about the uploaded image. Select from multiple AI models for analysis. Receive AI-generated responses in a user-friendly format.
Frontend: HTML, Tailwind CSS – Responsive UI design. JavaScript – Client-side logic and API handling. Marked.js – Converts AI responses to markdown format for better readability. Backend: FastAPI – A high-performance Python web framework. Pillow – For image processing and verification. Requests – To interact with Groq's API. Base64 Encoding – To send images in a format compatible with the AI models. Logging – For error tracking and debugging. AI Models Integrated: Llama-3.2-11b-Vision (Smaller, faster model) Llama-3.2-90b-Vision (Larger, more powerful model) Hosting & Environment: Uvicorn – ASGI server for running FastAPI. dotenv – Securely loads API keys from .env file.
python app.py
1️⃣ Upload a medical image.
2️⃣ Type your medical question related to the image.
3️⃣ Select an AI model (Llama-3.2-11b-Vision or Llama-3.2-90b-Vision).
4️⃣ Click "Submit" to get AI-generated insights.
