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@article{178012,
        author = {Nitya M and Sanjana M and Sanobar A and Sindhu N},
        title = {Attendance Registration using AI Face Detection},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {2363-2369},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=178012},
        abstract = {The Face Recognition-based Attendance Management System (FRAMS) is a highly effective solution aimed at automating the process of taking attendance in educational institutions, companies, and other organizations. Using state-of-the-art face recognition algorithms and a Flask- based web application, this system captures real-time attendance and stores it in an SQLite database. The system ensures a seamless and accurate method for tracking attendance, providing security and efficiency while eliminating human error. Future enhancements, such as Power BI dashboard, welcome audio on recognition, mobile notifications, and unknown face capture, will further improve its functionality and user experience. This paper discusses the design, implementation, and future potential of FRAMS as an automated solution for modern-day attendance management.},
        keywords = {AI-Based Automation, Attendance System, Deep Learning, Face Recognition, Flask Web App, OpenCV, Real-time Detection, SQLite Database.},
        month = {May},
        }