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SMART AI-POWERED ATTENDANCE AND ENGAGEMENT MONITORING SYSTEM
Most schools and colleges still use manual attendance systems based on roll numbers, which consume time, increase teachers' workload, and allow proxy attendance. To overcome these issues, the Smart AI-Based Attendance and Engagement Monitoring System uses face recognition to automate the attendance process. The system is developed as a desktop application using Python, OpenCV, and the face_recognition library. It identifies registered users by matching their faces with stored records and automatically records attendance with the date and time in an Excel sheet. During registration, multiple face images are captured from different angles to improve recognition accuracy. The application provides separate interfaces for users and administrators to register students, manage face data, and record attendance. The system is simple, secure, accurate, and time-saving, making attendance management more efficient while allowing teachers to focus on education instead of manual attendance.
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