Medical Image Analysis System

This project is a simple web application that allows users to upload an image and ask natural language questions about it. The system uses OpenRouter's GPT-4o Vision model to generate intelligent answers based on the visual content.

---

Features

• Upload any medical image through the web interface
• Ask natural language questions about the image
• Get accurate visual answers powered by GPT-4o (Vision)
• Display the image along with the question and model's answer

---

Tech Stack

• Frontend: HTML(via Flask)
• Backend: Python (Flask framework)
• Model API: OpenRouter GPT-4o Vision
• Others: requests, Pillow, matplotlib, os, base64

---

Requirements

• Python 3.10+

• Install required libraries:

  pip install flask requests matplotlib pillow

---

How to Run

• Clone or download this repository

• Add your image(s) to the static/uploads/ folder, or upload them via the web UI

• Set your API key:

  • Open vqa_api.py
  • Replace "THE-API-KEY" with your actual OpenRouter API key

• Run the Flask app:

  cd "Medical-Image-Analysis-System"
  python app.py

• Visit the app in your browser:
  Open browser at http://localhost

---