Developed a Smart Attendance System powered by AI-based face recognition to automate employee attendance tracking.
Key features of the system:
Built a face recognition model capable of accurately identifying employees.
When a face is detected, the system matches it with the registered employee database.
Once verified, the system automatically records attendance with a timestamp.
All attendance records are stored securely in a database for easy tracking and management.
The system eliminates manual attendance processes and improves accuracy and efficiency.
This project demonstrates the practical application of computer vision and AI in real-world business automation systems.