AI-Powered Food Waste Management System for Smart Cities

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Authors: Keya Bharadwaj Keya Bharadwaj
Cited by: 0

Abstract

This paper presents an AI-powered food waste management system designed for smart cities. By combining real-time IoT data with machine learning, the system predicts food surplus and enables faster, more efficient redistribution to NGOs. The approach helps reduce food waste while supporting sustainable and socially responsible urban living.

Fields of Study & Subjects

Food Waste Reduction and Sustainability Waste Management and Recycling Food Supply Chain Traceability

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
15 January 2026
Document type
Dataset