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ai/ml
2021

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

FaceNet MTCNN OpenCV PostgreSQL Python

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