Develop a desktop application to mark attendance automatically using AI-powered facial recognition, ensuring accurate and efficient attendance tracking for educational institutions.
Design database for students, classes, and attendance logs.
Implement secure login for admin and faculty.
Integrate AI-based facial recognition for attendance marking.
Develop modules to generate attendance reports and notifications.
Apply ML models to detect and verify faces in real-time.
Build dashboards to visualize attendance trends and statistics.
Conduct testing for facial recognition accuracy and system usability.
Implement alerts for absentees and irregular attendance.
Document system architecture, AI workflow, and user guide.
