InSight is a comprehensive medical imaging analysis system designed to analyze chest X-rays, MRI images for tumor detection, and dementia prediction. It employs various deep learning models to accurately diagnose medical conditions and generate detailed medical reports.

• Dementia Prediction: Utilizes a self-trained model to predict dementia severity levels (no dementia, very mild, mild, moderate).
• Chest X-ray Analysis: Utilizes a DenseNet model from the torchxrayvision library to classify 14 different lung diseases accurately.
• Tumor Detection: Employs YOLOv3-tiny for brain tumor detection in MRI images.
• Medical Report Generation: Generates detailed medical reports based on the analysis results.
• API Integration with Gemini AI: Connects with Gemini AI through API for report generation from analysis result and provide with cross-checking suggestions for radiologist.
• Report Lab:ReportLab dynamically generates detailed medical reports based on the analysis results obtained

1. Clone the repository:

   git clone https://github.com/your-username/InSight.git

2. Install dependencies:

   pip install -r requirements.txt
   npm install  #using React.js for frontend

3. set the API Key:

   import { GoogleGenerativeAI } from "https://esm.run/@google/generative-ai";

1. Start the Flask server:

   python server.py

2. Access the application at http://localhost:5000.

3. Upload medical images for analysis and view the generated medical reports.

• Endpoint: /api/analyze
• Method: POST
• Request Body: JSON object containing the medical image data.
• Response: JSON object containing the analysis results and medical report.

Example request:

{
  "image": "base64_encoded_image_data"
}

Contributions are welcome! Please read the contribution guidelines before making any changes.

This project is licensed under the MIT License.

• torchxrayvision
• YOLOv3-tiny
• Gemini AI
• ReportLab