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The project includes various scripts and SQL files to manage and analyze food surplus and recipient data. It leverages Python for data processing, SQLAlchemy for database interactions, and machine learning models to predict food waste. The system aims to efficiently redistribute surplus food to NGOs and other recipients and minimizing food waste.
An award-winning 🏆 project recognised as the Best B.Tech Project of the Year by ISTE, connecting food donors and needers through a centralised web platform with real-time notifications and efficient food redistribution management.