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This system streamlines ordering and analytics in university cafeterias, implying a better experience for all users.
University cafeterias are much more than just places to eat; they act as essential centers for social life and student interaction on campus. Despite their importance, many still rely on manual ordering and billing methods that struggle to handle the daily rush. This often results in long lines, frustrated students, and a difficult time for staff trying to keep track of inventory and sales data. To solve these practical problems, we built the Automated AI-Enabled Cloud-Based Cafeteria Management and Analytics System. This digital platform is designed to make the entire process more efficient for everyone involved. By using a modern technology stack, specifically Vite for a fast, responsive interface and Supabase for a real-time cloud backend, the system enables students to browse menus and order directly from their devices. Kitchen staff are notified instantly, which drastically cuts down on wait times and eliminates the common human errors found in manual billing. On the administrative side, the hub provides a central dashboard to monitor sales trends and stock levels in real time. Our ultimate goal was to provide a transparent and easy-to-use tool that improves the cafeteria experience for students, employees, and university management alike.
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Kukade et al. (2026) studied this question.
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