Face Recognition-Based Attendance System Using Machine Learning

The attendance marking process is an important aspect in academic and corporate settings. Inefficient, inexact, and forged attendance is the risk associated with traditional processes. This article suggests an automated system based on machine learning and face recognition technology for increased accuracy, security, and efficiency. The system uses OpenCV, Deep Face, and Flask to acquire, process, and verify user identities. The system follows the client- server model for implementation, allowing for real-time processing and safe data storage. The paper discusses the approach, experimental findings, and system performance measurement, making it evident that the system is effective in automatic attendance monitoring. Keywords Face Recognition, Deep Learning, Machine Learning, Attendance System, OpenCV, Flask, Deep Face.