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This project is an advanced AI-powered tool designed to analyze medical images, leveraging the robust capabilities of Google Gemini for accurate image recognition and Streamlit for an intuitive user interface.

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ssabrut/medical-image-detection-llm

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AI-Powered Medical Image Analysis Tool

This project leverages Google Gemini and Streamlit to build an advanced AI-powered tool for analyzing medical images. By integrating Google's cutting-edge AI capabilities with Streamlit's user-friendly interface, this tool aims to assist healthcare professionals in diagnosing and evaluating medical conditions from images efficiently and accurately.

Installation

To install the required packages, run:

pip install -r requirements.txt

Setting Up Google Gemini API

  1. Create Google Gemini API Key:
    • Visit the Google Cloud Console and create a new project.
    • Enable the Google Gemini API for your project.
    • Create credentials (API key) and copy it.
  2. Create .env File:
    • Create a file named .env in the root directory of your project.
    • Add the following line to the .env file:
      GEMINI_API_KEY=your_gemini_api_key_here

Running the Application

To run the application, execute the following command:

streamlit run app.py
Contributors
  • Michael (ssabrut) - Project Lead & Developer

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This project is an advanced AI-powered tool designed to analyze medical images, leveraging the robust capabilities of Google Gemini for accurate image recognition and Streamlit for an intuitive user interface.

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