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The Challenge
Manual attendance tracking is slow, error-prone, and can be manipulated. The goal was to automate attendance reliably while keeping the workflow simple for both users and administrators.
- Manual tracking and spreadsheets create inconsistencies
- Need to prevent buddy-punching and identity fraud
- Fast check-in process to avoid queues and disruption
- Actionable reporting for admins and management
Our Solution
We built an AI attendance workflow using face recognition at check-in paired with an admin portal for managing users and generating attendance reports.
- Face enrollment and identity management
- Fast recognition-based check-in/check-out
- Daily, weekly, and monthly attendance reporting
- Admin dashboard for managing employees/students
- Audit-friendly logs for exceptions and manual overrides
Challenges We Overcame
- Lighting variability: Ensuring robust recognition under different lighting conditions
- Speed: Optimizing face detection + recognition for quick check-in
- Accuracy: Reducing false matches while maintaining usability
- Operational controls: Handling edge cases (new users, changes in appearance)
Technology Stack
Python
Face Recognition
OpenCV
Flask
PostgreSQL
Web Dashboard
Results & Impact
- Faster attendance processing with reduced admin overhead
- Improved integrity of attendance through identity verification
- Clear reporting for payroll, compliance, and insights
- Extensible foundation for additional access-control scenarios
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