In modern healthcare, the demand for quick, accurate, and accessible medical diagnosis is increasing. Medical professionals often face challenges such as:

• ⏰ Time constraints in reviewing medical images.
• 🧠 Limited expertise in analyzing specific types of medical images.
• ✅ The need for a reliable second opinion.

This project aims to assist healthcare professionals by providing detailed analysis and recommendations for medical images, helping them identify potential health issues efficiently and accurately.

Develop a Streamlit-based application called MedLens-AI that integrates Google's Generative AI capabilities to:

1. Analyze uploaded medical images.
2. Generate a structured report with:
   • Detailed insights.
   • Recommendations for further tests or treatments.
   • Potential treatments, where applicable.

git clone https://github.com/adi-ray/MedLens-AI  

Using Conda:

conda create -p env python=3.10 -y  
conda activate ./env

Install all required Python packages using the requirements.txt file:

pip install -r requirements.txt

Create a .env file in the root directory and add your Google API key:

GOOGLE_API_KEY=your_api_key_here

Launch the Streamlit application:

streamlit run app.py

• Medical Image Analysis: Quickly analyze medical images to identify abnormalities or conditions.
• Structured Reporting:
  • 📌 Insights into detected abnormalities or conditions.
  • ✅ Recommendations for follow-up actions or tests.
  • 💊 Potential treatments, when applicable.
• User-Friendly Interface: A clean and intuitive UI built with Streamlit for seamless usage.

• Python 3.10
• Streamlit
• Google Generative AI

This application is intended for assistance purposes only and does not replace professional medical advice. Always consult a certified medical practitioner for final decisions.