AI Attendance Manager is an advanced AI/ML solution built with Python, Flask, and MongoDB for automated, reliable student attendance tracking using face recognition. The platform provides real-time attendance, analytics, and parent notifications while offering dedicated panels for Admin, Teacher, Student, and Parent.
Scope of Work
Face Recognition, Real-time Attendance, Notifications, Dashboard & Analytics, Full-Stack Development
Industry
Education Technology
Project Scale
Multi-panel system (Admin, Teacher, Student, Parent)
Technology Stack
Python, Flask, OpenCV / Deep Learning, MongoDB, HTML/CSS/JS
AI Attendance Manager is an intelligent attendance system that uses face recognition and machine learning to automate student attendance, maintain accurate records, and notify parents and staff in real time.
Students are marked present automatically through camera-based face recognition. The system supports offline enrollment, batch face registration, and continuous model updates to improve accuracy over time.
The project includes panels for Admin (manage users, classes, and system settings), Teacher (take attendance, view class reports), Student (view personal attendance history), and Parent (receive attendance emails and alerts).
Parents receive automated emails when students are absent or late. Teachers and admins get analytics dashboards, daily/weekly reports, and exportable attendance sheets (CSV/PDF).
Built-in analytics surfaces attendance trends, at-risk students, punctuality metrics, and custom filters for class or group.
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