Machine Learning-based Food Waste Management System

Our project aims to develop an engaging mobile application that serves as a ubiquitous platform for users to visualize available food resources in their local region and, as a result, acquire access to food, thereby addressing two key issues: hunger and food waste. We noticed the potential for mobile technology to help with food waste management and developed an Android app that allows businesses to donate and share leftovers with people in need. By reducing hunger and food waste, our activity has a significant influence on both healthcare and the environment. Apart from this, the application also provides analytics to the restaurants to reduce food wastage at their side using Machine Learning. Ensemble models like XGBoost and Random Forest are considered which will be beneficial in regularization for avoiding overfitting and also for inbuilt cross validation.