Computer vision · Full stack / 2025
SmartPresence
Less administration. More presence.
The problem
Manual attendance adds repetitive work and fragments records. Students and faculty also need different views of the same information.
How I approached it
I built a full-stack system using YuNet for face detection and SFace for recognition, with backend APIs and PostgreSQL storage. The interface separates student attendance history and registration from faculty classroom processing and reports.
What came out of it
The project brings recognition and record management into one workflow, with role-based dashboards and a live frontend demo. Recognition accuracy and production usage are not quantified in the supplied materials.
What I took away
The model is one part of the product. Clear roles, consistent records, and usable workflows make the system useful.
Project details: repository and documentation . Personal contributions are based on my résumé and project notes.