X-Ray Intensity Classifier

A Flask-based web application that uses deep learning to classify X-ray images based on their intensity levels. This project demonstrates the implementation of a medical imaging AI system using modern web technologies and machine learning.

Features

• Upload and classify X-ray images
• Real-time image processing and analysis
• Intensity classification into four categories: Normal, Mild, Moderate, and Severe
• Confidence score for each prediction
• Modern, responsive web interface
• Secure file handling and validation

Technical Stack

• Backend: Flask (Python)
• Machine Learning: TensorFlow/Keras
• Image Processing: OpenCV
• Frontend: HTML5, TailwindCSS, JavaScript
• Data Handling: NumPy, Pillow

Project Structure

├── app.py                 # Application factory
├── config.py             # Configuration
├── requirements.txt      # Python dependencies
├── routes/
│   ├── main.py          # Main routes
│   └── api.py           # API routes
├── services/
│   ├── image_processing/
│   │   ├── enhancer.py  # Image enhancement
│   │   └── preprocessor.py # Image preprocessing
│   └── ml/
│       ├── model_loader.py # Model loading
│       └── predictor.py    # Prediction logic
├── utils/
│   └── file_validator.py # File validation
└── templates/
    └── index.html       # Web interface