Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)

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ZeroHunger: A Digital Solution for Reducing Food Waste and Hunger Alleviation

Authors
Vidhushavarshini Suresh1, Anasuya Neharika Jonnalagadda1, Dakshak Jagdheesh1, Mitraa Balasubramanian1, *
1Department of Computer Science and Engineering, SRM Institute of Science and Technology, Vadapalani, Chennai, India
*Corresponding author. Email: mitraa.bsmanian@gmail.com
Corresponding Author
Mitraa Balasubramanian
Available Online 31 October 2025.
DOI
10.2991/978-94-6463-866-0_67How to use a DOI?
Keywords
Food donation; hunger mitigation; Machine Learning; Artificial Intelligence; fraud detection; Firebase; food quality assessment; developing nations; real-time system; Web Applications; food wastage; donor-recipient matching
Abstract

Food wastage and hunger are two major problems globally, most famously seen in most developing countries like India, where they are the norm. The paradox of excess food wastage and extensive hunger is a major impetus for creative solutions. Zero Hunger, a trailblazing web-based food donation platform, aims to bridge this gap by linking donors and organizations via an AI-powered intelligent interface. This Node.js web application built using JSON, JavaScript, and EJS, driven by Firebase authentication, enhances the effectiveness of food and grocery donations by advanced Machine Learning (ML) algorithms that ensure fraud protection and food quality verification. Here, we introduce the conception, implementation, and real contribution of Zero Hunger, with emphasis on its operation in Chennai, Tamil Nadu, India.

The novelty of this work lies in its integration of AI-driven modules for fraud detection, food quality assessment, and intelligent donor-receiver matching within a scalable, modular architecture that enables secure and real-time food donation management in developing regions.

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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Volume Title
Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
Series
Atlantis Highlights in Intelligent Systems
Publication Date
31 October 2025
ISBN
978-94-6463-866-0
ISSN
2589-4919
DOI
10.2991/978-94-6463-866-0_67How to use a DOI?
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.

Cite this article

risenwbib
TY  - CONF
AU  - Vidhushavarshini Suresh
AU  - Anasuya Neharika Jonnalagadda
AU  - Dakshak Jagdheesh
AU  - Mitraa Balasubramanian
PY  - 2025
DA  - 2025/10/31
TI  - ZeroHunger: A Digital Solution for Reducing Food Waste and Hunger Alleviation
BT  - Proceedings of the International Conference on Intelligent Systems and Digital Transformation (ICISD 2025)
PB  - Atlantis Press
SP  - 822
EP  - 834
SN  - 2589-4919
UR  - https://doi.org/10.2991/978-94-6463-866-0_67
DO  - 10.2991/978-94-6463-866-0_67
ID  - Suresh2025
ER  -