A Smart AI-Based Food Redistribution System for Reducing Food Waste and Supporting Community Welfare

Abstract: The increasing rate of food wastage and food insecurity has become a major global concern affecting environmental sustainability and social welfare. Large amounts of edible food produced by restaurants, hotels, functions, and households are discarded daily due to the absence of an efficient redistribution mechanism. To address this issue, the AI-Powered Residual Food Distribution System is proposed as an intelligent platform that automates the collection, analysis, and redistribution of surplus food to needy individuals and organizations. The proposed system integrates Artificial Intelligence, machine learning, image processing, geolocation services, and web technologies to create a centralized and efficient food redistribution platform. Donors can upload surplus food details along with food images, while the AI mod- ule analyzes food quality and determines whether the food is safe and suitable for distribution. Based on location and availability, the system automatically identifies nearby NGOs and volun- teers and sends real-time notifications for food pickup and delivery. The system also incorporates secure authentication, centralized database management, GPS-based route optimization, and real-time tracking to improve operational efficiency and transparency. Experimental analysis shows that the proposed system significantly reduces food spoilage, improves coordination among stakeholders, minimizes wastage, and ensures timely food delivery. Overall, the system provides a smart and sustainable technological solution for efficient food redistribution and community welfare.

Keywords: Artificial Intelligence, Food Waste Management, Smart Food Distribution, Machine Learning, Food Donation System, Food Quality Detection, Geolocation Services, Web Application