Abstract: Attendance management is critical for institutions, but traditional procedures like manual roll calls and sign-in sheets usually face problems like human error, time consumption, proxy attendance ("buddy punching"), and a lack of real-time data. Face recognition technology, integrated with web platforms, offers a workable solution with its automated, contactless, and accurate identification process. By providing a secure, efficient, and easily accessible system for administrators to monitor presence, this smart attendance system has the potential to revolutionize daily administrative workflows. Proxy attendance, data entry errors, and significant administrative overhead are some of the problems with traditional paper-based attendance that can be resolved by integrating computer vision into management systems. With this smart, web-based attendance system, registered individuals can have their attendance marked automatically and instantly using a simple webcam. This approach makes use of powerful machine learning models and image processing, two of computer vision's built-in strengths, to guarantee the integrity of the attendance records. Additionally, by facilitating a touchless and rapid process, the system can improve operational efficiency and reduce disruptions. Attendance marking is made secure, transparent, and accurate with this system built on Python and OpenCV. Because it is a web application powered by a machine learning back-end, administrators can view live data and generate reports without manual compilation. Because facial encodings and timestamps are stored in a secure database, it is impossible for unauthorized individuals to tamper with or alter the records. The automated, transparent, and reliable attendance process is guaranteed by the use of facial recognition algorithms. With the potential to increase data accuracy and confidence in administrative records, face recognition technology and the deployment of a smart system provide a dependable and affordable solution for efficient and trustworthy attendance management.

Keywords: Face Recognition, Smart Attendance, Web Technologies, Computer Vision, Biometric System.

Downloads: | DOI: 10.17148/IJIREEICE.2025.131011