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  • https://doi.org/10.22214/ijraset.2026.78437Copy DOI Icon

A Digital Framework for Efficient Food Donation Management

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Abstract

Food wastage and inefficient distribution of surplus food continue to be major social challenges, especially in developing countries, where large quantities of edible food are discarded while many people face food insecurity. To address this gap, this paper proposes a AI Integrated digital framework for efficient food donation management using the MERN stack. The proposed system provides a centralized web-based platform that connects food donors such as restaurants, event organizers, and households with verified NGOs and volunteers in real time. Using the MERN stack (MongoDB, Express.js, React.js, and Node.js) and Gen AI, the framework ensures scalability, secure data handling, and responsive user interaction. Key features include donor and receiver registration by admin that ensures user safety check , real-time food request and acceptance, location-based matching, status tracking, and administrative monitoring to ensure transparency, authenticity and accountability. Unlike traditional manual or semi-automated donation systems, the proposed framework minimizes delays, reduces food spoilage, and improves coordination among stakeholders. The system also supports data analytics for tracking donation patterns and measuring social impact. Overall, this digital framework aims to reduce food waste, enhance operational efficiency in food donation processes, and contribute to sustainable social welfare through modern web technologies.

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