AI-Driven Food Contribution and Management System: Enhancing Efficiency and Reducing Waste

DOI

10.2991/978-94-6463-738-0_100How to use a DOI?

Keywords

Donor; Food wastage; NGO: Non-Government Official

Abstract

Food waste phenomenon is massively racing across the world, 1/3rd of food produced for human consumption wastes in competition with our Food and Agriculture Organization. This staggering total accounts for approximately 1.3 billion tons of food wasted per year. Meanwhile, the World Health Organization says 20% of the global population is experiencing extreme deprivation of food. These numbers highlight the desperate source of solutions to both solve the hunger problem and the wastelands. The Food Waste Management System intends to do the same by collecting the surplus food from NGO, donors, marriage halls, and hotels and redistributing them to the needy people to reduce waste and fight hunger and malnutrition in the society.

Copyright

© 2025 The Author(s)

Open Access

Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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TY  - CONF
AU  - Sayyed Mahfooz Alam
AU  - Nagendra Kumar Sahu
AU  - Anand Tamrakar
PY  - 2025
DA  - 2025/06/22
TI  - AI-Driven Food Contribution and Management System: Enhancing Efficiency and Reducing Waste
BT  - Proceedings of the International Conference on Advances and Applications in Artificial Intelligence (ICAAAI 2025)
PB  - Atlantis Press
SP  - 1298
EP  - 1306
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-738-0_100
DO  - 10.2991/978-94-6463-738-0_100
ID  - Alam2025
ER  -