SMART ATTENDANCE TRACKER USING FACE RECOGNITION

Abstract - This project improves attendance tracking by using face recognition instead of manual or card-based methods. It uses OpenCV and machine learning to recognize faces in real time and mark attendance automatically. This helps avoid common problems like errors, delays, and fake attendance. The system is developed using Python and OpenCV for real-time face recognition, utilizes machine learning techniques for accurate identification, and stores attendance data in a MySQL database to manage records efficiently. Keyword’s: FaceRecognition, Attendance Tracking, Real-Time Monitoring, OpenCV,Automation,Resource Optimization.