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@article{176120,
        author = {R.K.K.Kamesh and T.Kiranmai and G.N.S.Likhita and S.Janaki ram and S.Gous Imam},
        title = {Autonomous Robotic System for Automated Class Room Attendance},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {5363-5368},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176120},
        abstract = {The Autonomous Robotic System for Classroom Attendance is underpinned by a solid web based platform that supports real-time attendance tracking, data management, and user interaction. The system incorporates a web application where attendance records are up-to-date and stored automatically, giving educators and administrators seamless access. The platform allows teachers to view, manage, and confirm attendance data through an interactive dashboard. For discrepancies or unidentified students, the system enables teachers to correct data. The system also automatically sends notifications to stakeholders for absences, helping to initiate prompt intervention. Sorting attendance records by class, date, and student information is also facilitated through the web interface, and all-inclusive insights are provided for academically managing students. Scalable and accessible, the system provides students with the ability to view their attendance status while providing security against unauthorized changes. The web application provides secure cloud-based storage, multidevice support, and realtime synchronization with the autonomous robot, providing a streamlined, efficient, and automated system of attendance tracking in schools.},
        keywords = {Autonomous robotic system, Attendance Records, Automated Attendance, Classroom Monitoring},
        month = {April},
        }