Food Donation Management System with Real-Time User Data Tracking by Local Admin

Abstract

Food waste and hunger are two global challenges, with one-third of all food produced being wasted while millions suffer from food insecurity. Food waste is a critical issue, with 1.3 billion tons of food wasted annually worldwide, while over 800 million people face hunger. Traditional food donation systems are often   fragmented, inefficient, and lack real-time coordination, leading to missed opportunities for redistribution. This paper presents the design, implementation, and evaluation of a food donation system aimed at bridging the gap between surplus food and those in need. Through the system we can see significant reductions in food waste and improved access to nutritious meals for vulnerable populations.  The primary objectives of this research are to design and develop a scalable food donation system that optimizes the collection, distribution, and tracking of surplus food. The food donation system results by Reduction in Food Waste: A decrease in food waste among participating donors. Increased Donations: An increase in the volume of donations reaching the local admin. The findings underscore the potential of technology to address food waste and hunger. By streamlining the donation process, the system not only reduces waste but also creates a sustainable model for food redistribution. Challenges include ensuring food safety. Future work will focus on integrating AI for demand prediction and expanding the system to rural and underserved areas.