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@article{194927,
        author = {S. AKASH and Dr.S.PARTHASARATHY},
        title = {End-To-End Biometric-Integrated Canteen and Feedback Analytics System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {10},
        pages = {6122-6128},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=194927},
        abstract = {The digitalization of institutional facilities provides a critical opportunity to automate and optimize essential services such as canteen management. This paper proposes a comprehensive Smart Canteen Management System utilizing Internet of Things (IoT) technologies and modern web frameworks to address inefficiencies in traditional, manual token-based systems. The proposed architecture integrates real-time biometric attendance tracking via ESSL devices, automated meal token generation using ESC/POS thermal receipt printers, and barcode validation. Built upon an ASP.NET Core REST API backend and a responsive React-based frontend dashboard, the solution incorporates role-based access control, ensuring high data integrity and security. To ensure high service quality, a digital feedback module enables continuous monitoring of employee satisfaction and contractor performance. Furthermore, the system drastically reduces manual intervention, prevents meal fraud, and provides critical analytics for forecasting demand and minimizing food wastage. Experimental deployment and pilot testing demonstrate high reliability, fast token generation, and secure data logging, indicating a highly scalable architecture suitable for implementation in diverse institutional environments.},
        keywords = {Smart Canteen, IoT Integration, Biometric Attendance, Role-Based Access Control},
        month = {March},
        }