Smart Classroom Attendance System Using Facial Biometrics

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The system accurately identifies individuals using facial recognition technology, improving attendance management.
Image processing techniques enable effective face detection and recognition, with accuracy confirmed by audio feedback.
Developed using TensorFlow and OpenCV, this system benefits from advanced machine learning algorithms for robust performance.
Integration of a user-friendly interface via Tkinter ensures accessibility and supports various interactive applications.

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This implementation demonstrates a real-time facial recognition system using TensorFlow and OpenCV, enhancing attendance tracking.

Kahar et al. (2025) studied this question.

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