Food wastage represents one of the most critical inefficiencies in modern global supply chains, with severe implications across environmental sustainability, economic resource allocation, and social equity. Simultaneously, food insecurity affects hundreds of millions of individuals worldwide. This contradiction underscores systemic failures in surplus redistribution mechanisms. This research proposes a cloud-integrated, location-based Food Donation System designed to connect surplus food providers—including restaurants, hotels, catering services, and event organizers—with non- governmental organizations (NGOs) and charitable entities through real-time geolocation-based filtering and instant communication.

The proposed platform utilizes Firebase as a cloud backend for authentication, real-time database management, push notifications, and scalable storage infrastructure. Donors upload surplus food metadata including quantity, type, expiration window, and pickup availability, while NGOs within a predefined geographic radius (10–15 km) receive automated alerts and may accept requests through a structured workflow. The system incorporates automated status tracking, secure data transmission, audit logging, and response-time analytics to enhance transparency and accountability.

Experimental evaluation demonstrates measurable improvements in coordination efficiency, reduction in manual communication delays, and increased pickup success rates compared to conventional donation mechanisms. The platform contributes to environmental sustainability by reducing food landfill accumulation and associated greenhouse gas emissions, while simultaneously improving community-level food access. This study details system architecture, database design, algorithmic implementation, performance evaluation, and future scalability considerations.