Annapurna: An Intelligent Food Donation System with AI-Based Receiver Recommendation
Authors
Prof. Vrushali Dhanokar
Parvatibai Genba Sopanrao moze college of engineering Wagholi Pune 412207 (IN)
Akash Midgule
Parvatibai Genba Sopanrao moze college of engineering Wagholi Pune 412207 (IN)
Rahul Rathod
Parvatibai Genba Sopanrao moze college of engineering Wagholi Pune 412207 (IN)
Yuvraj Wagh
Parvatibai Genba Sopanrao moze college of engineering Wagholi Pune 412207 (IN)
Gaurav Deshmukh
Parvatibai Genba Sopanrao moze college of engineering Wagholi Pune 412207 (IN)
Article Information
DOI: 10.51583/IJLTEMAS.2026.150500008
Subject Category: Web and Mobile Application
Volume/Issue: 15/5 | Page No: 88-97
Publication Timeline
Submitted: 2026-05-22
Published: 2026-05-22
Abstract
Food wastage and hunger imbalance is a major societal issue that requires efficient technological solutions. This paper presents “Annapurna”, a food donation system that connects donors, receivers, and volunteers through a web and mobile platform using React.js, Android Studio, Node.js, Express.js, and MongoDB.
The system allows donors to create donation requests and receivers to request food, while volunteers manage the matching process. An AI-based recommendation module suggests suitable receivers based on location, urgency, and quantity, improving matching efficiency.
The proposed system enhances coordination, reduces food wastage, and improves resource distribution compared to traditional manual approaches.
Keywords
Food Donation System, MERN Stack, Android Application, AI-Based Recommendation, Resource Matching, Volunteer Management, REST API, MongoDB, Node.js, React.js.
This article is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).
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References
1. “Reduction of Food Wastage through Android,” International Journal of Scientific & Engineering Research, vol. 10, no. 10, Oct. 2019, pp. 915–920, ISSN: 2229-5518. [Google Scholar] [Crossref]
2. J. Manikandan and N. Kumar, “Food Wastage Reduction Through Donation,” International Research Journal of Engineering and Technology (IRJET), vol. 7, no. 3, Mar. 2020. [Google Scholar] [Crossref]
3. Food and Agriculture Organization (FAO), “Food Loss and Food Waste Data,” Available: http://www.fao.org/food-loss-and-food-waste/flw-data [Google Scholar] [Crossref]
4. V. Mhatre, S. Chavan, S. Gamare, and V. Salunkhe, “Waste Food Management and Donation App,” vol. 9, no. 3, Mar. 2022. [Google Scholar] [Crossref]
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