README.md

Skin Disease Classifier

Project Structure

├── app/
│   ├── main.py              # FastAPI application entry point
│   ├── api/
│   │   ├── routes.py        # API endpoint definitions
│   │   └── schemas.py       # Pydantic data models
│   ├── core/
│   │   ├── config.py        # Application configuration
│   │   └── logger.py        # Logging setup
│   └── src/
│       ├── classifier.py     # ML model wrapper
│       └── preprocessing.py  # Image preprocessing utilities
├── docker-compose.yml       # Docker composition config
├── Dockerfile              # Container definition
└── requirements.txt        # Python dependencies

Using Docker (Recommended)

1. Build and run the application using Docker Compose:
   docker-compose up --build

Manual Setup

1. Create a Python virtual environment:
   bash

   1python -m venv venv 2source venv/bin/activate # On Windows use `venv\Scripts\activate`
2. Install dependencies:
   pip install -r requirements.txt
3. Run the application:
   python -m uvicorn app.main:app --port 5353 --reload
   Note: The --reload flag enables automatic reloading upon code changes, which is useful during development.

API Endpoints

• GET / - Welcome message and API information.
• POST /classify - Upload and classify a skin disease image.
  • Accepts image files (JPEG, PNG).
  • Returns prediction label and confidence score.

Example Response