Attendance Management with Facial Recognition using OpenCV

In this research, we propose a comprehensive system integrating facial recognition technology and attendance management for educational institutions or organizations. Leveraging state-of-the-art face recognition algorithms and machine learning techniques, our system aims to automate the attendance tracking process, enhancing accuracy and efficiency. We conducted extensive experiments, employing a diverse dataset for training and testing. The results demonstrate the robustness and reliability of our facial recognition model in real-world scenarios. Furthermore, we implemented a user-friendly web interface for administrators and instructors to manage attendance records seamlessly. The system incorporates an automated email notification feature, sending alerts to students or relevant personnel upon successful face detection. Our research contributes to the evolving field of automated attendance systems, providing an innovative solution that not only simplifies the tracking process but also ensures data accuracy and accessibility. The implementation and evaluation of our system indicate its potential to significantly streamline attendance management practices in educational institutions and beyond.