A full end-to-end image classification system that combines machine learning, backend API, and a frontend interface.

System Overview

The system is composed of three main parts:

• The model handles training, prediction, and retraining
• The backend exposes inference endpoints
• The frontend provides a simple UI to interact with the system

Security Notes

• No API keys or secrets are stored in this repository
• Environment variables are loaded from .env files
• All sensitive files are excluded via .gitignore
• For the email functionality, you will have to place your own email and password in the backend

Purpose of This Project

This project was built to demonstrate:

• Practical image classification
• ML system design beyond notebooks
• Integration between ML, backend APIs, and frontend UI
• Clean project structure and production-aware practices

Notes

This repository focuses on engineering and integration, not only model accuracy. It is intended as a portfolio project showcasing end-to-end ML system development.

License

This project is only for educational purposes