AI-Powered Smart Attendance Management System Using Facial Recognition

This project explores the use of facial recognition technology for automated attendance management. The system captures and analyzes facial images in real-time, identifies individuals using feature extraction techniques, and automatically records attendance. While handling variations in lighting, facial expressions, and occlusions remains a challenge, the study demonstrates the potential of facial recognition for intelligent and efficient attendance tracking. Future work may enhance accuracy by improving recognition algorithms and expanding the dataset. The approach also shows promise for integration with voice feedback and record management systems. Overall, this work highlights how AI can streamline attendance monitoring, making it faster, more accurate, and user-friendly.