AI Face Recognition Attendance
University capstone achieving 97.5% accuracy at 25 FPS for automated classroom attendance.
Key Metrics
97.5%
Accuracy
25
FPS
150+
Students
About This Project
My final year project at the University of Central Punjab, an AI-powered face recognition attendance system that achieved 97.5% accuracy at 25 FPS across 150+ students. Built with FaceNet for face embeddings, MTCNN for detection, OpenCV for video processing, and PostgreSQL for storage.
Technologies Used
Interested in Similar Work?
I'm available for freelance projects and full-time opportunities. Let's discuss how I can help bring your ideas to life.
Get in Touch