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@article{180698,
        author = {Sheikh Mehtab Rehaman and Shaikh Roshni and Shahabaj Mulani and Devdatta Dhananjay Bhurke and Prof. Tushar Surwade and Prof. Sonal Chanderi},
        title = {Smart Attendance Capturing Mobile App},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {1927-1931},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180698},
        abstract = {Student participation and eventual course 
success are influenced by the classroom attendance 
check. Even now, the majority of university lecturers 
still take attendance by calling out students' names or 
having them sign an attendance sheet that is passed 
around the classroom. In addition to being time- 
consuming, this method carries the risk of students 
falsifying their attendance by signing the attendance 
of 
other students, particularly in large classes. 
Alternatively, techniques based on RFID, wireless, 
fingerprint, iris, and face recognition have been 
developed and tested for this purpose. The biggest 
drawback for a university is the high system 
installation costs, despite the fact that these 
approaches have certain advantages. Therefore, the 
goal of this paper is to suggest a mobile application for 
attendance based on face recognition that doesn't 
require any additional equipment or money. Students 
at 
Keystone School of Engineering tested the 
suggested system, and the outcomes were quite 
positive.},
        keywords = {Face detection, face recognition, attendance  capturing application, mobile application.},
        month = {June},
        }