Smart Food Freshness Detection Mobile App

The goal of this project is to develop a production-ready, AI-powered mobile application that analyzes food images (fruits and vegetables) to determine freshness levels categorized as Fresh, Borderline, or Stale. Built using React Native and TensorFlow Lite, the application performs on-device AI inference, allowing it to function completely offline. The system aims to assist individuals, chefs, and restaurants in making informed decisions, thereby reducing food waste and ensuring food safety. Key features include image capture, a secure Firebase-backed user authentication system, local data storage via SQLite, and automatic data synchronization with Firebase Firestore when an internet connection is available.