AI Fruit Condition Prediction
An AI-based fruit condition prediction system using TensorFlow that automatically identifies whether fruits are fresh or rotten from images, providing fast and accurate results for quality control and reducing food waste.
This project is an AI-powered fruit condition prediction system that uses a TensorFlow-based deep learning model to automatically distinguish between fresh and rotten fruits. By analyzing images of fruits, the model can accurately predict their condition in real-time, helping businesses, farmers, and consumers make informed decisions. The system supports multiple fruit types and provides a confidence score for each prediction, ensuring reliability and precision. With an intuitive interface, users can simply upload an image and receive instant feedback on the fruit's freshness, making it an efficient tool for quality control, inventory management, and reducing food waste. The project also lays the foundation for advanced analytics, such as monitoring ripeness over time and integrating with supply chain systems.