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@article{179459,
        author = {Sufiyana I and Afreen A and Ishwari and Amrutha J},
        title = {Facial Recognition-Based Academic Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {12},
        pages = {7466-7472},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=179459},
        abstract = {This project focuses on the development of 
a comprehensive and intelligent academic portal 
designed to streamline and automate various academic 
operations for administrators, faculty members, and 
students. The portal integrates facial recognition 
technology to ensure secure login and accurate 
attendance tracking, eliminating the need for manual 
record-keeping. With role-based access, admin can 
manage courses, subjects, and timetable schedules, 
while faculty members can input internal marks and 
generate performance reports. The student module 
introduces automated attendance marking through 
facial recognition via webcam during scheduled classes 
and Students are provided with easy access to their 
academic information, including attendance records, 
timetables, and performance updates. The system aims 
to enhance accuracy, reduce admin burden, and 
improve the overall efficiency of academic 
management. By automating routine tasks and 
centralizing academic data, the portal promotes 
transparency, 
accountability, 
and 
effective 
communication among all stakeholders. This 
intelligent solution not only saves time and resources 
but also contributes to a more organized, secure, and 
student-centered academic environment, paving the 
way for digital transformation in educational 
institutions.},
        keywords = {Academic Management System, Facial  Recognition Attendance, Secure Login, Automated,  Attendance Tracking, Internal Marks Entry,  Webcam-Based Recognition, Faculty Dashboard,  Student  Dashboard,  Monitoring.},
        month = {May},
        }