This study presents an automated attendance system using face recognition and deep learning, improving efficiency by detecting students in real time and reducing manual tracking. Optimizations like multi-threading and frame skipping enhance speed and accuracy, supporting up to 10 faces simultaneously. Attendance records are stored in CSV/Excel, while a PyQt-based GUI ensures ...