Personal project · Computer Vision
The problem
Traditional attendance tracking (roll calls, sign-in sheets) is slow, error-prone, and hard to audit at scale.
Approach
Built a face recognition-based attendance system:
- Detects and recognizes faces in real time from a camera feed
- Logs attendance automatically with timestamps
- Identifies individuals against an enrolled face database
Stack
- Face detection + recognition pipeline
- Real-time video processing
Outcome
Automated real-time identification and attendance logging — removing the manual overhead of tracking who’s present.
[ screenshots + repo link coming soon ]