Virtual Logger: A Cognitive Framework for Proxy-Proof Attendance Automation and Intelligent Presence Logging

Attendance management is an essential activity in educational and other environments. Conventional attendance

management systems using manual attendance sheets, RFID cards, or even biometric methods like fingerprints face problems of

accuracy, proxy attendance, hygiene issues, and higher maintenance costs. To overcome these problems, this paper proposes an

intelligent attendance management system using virtual loggers with face recognition technology. In this paper, we propose an

attendance management system using face recognition technology with the help of YOLOv8 face detection and FaceNet face

recognition. The system is implemented using a Flask-based web server with a React-based web interface. SQLite is used to store

attendance data. One of the major advantages of this system is that it includes an automated parent notification system. Parents

would be immediately notified of their child’s attendance or absence. In this paper, we have also compared the accuracy of our

system with other conventional attendance management systems. From the results, it is clear that our system is more accurate

and scalable compared to other attendance management systems. It is also immune to proxy attendance. Hence, this system is

very efficient and reliable