Facial Recognition Enabled

Redefining
Campus Attendance.

A comprehensive, high-scale attendance platform tailored for modern educational institutions. Seamlessly bridging the gap between manual administration and state-of-the-art AI.

Face Recognition Scanner

Hybrid Capture Methods

Flexible infrastructure designed to adapt to any classroom scenario, from traditional roll calls to instantaneous AI-powered tracking.

Manual Registration

A robust, fallback digital register for advisors and staff. Allows intuitive manual entry, handling edge cases, guest lectures, and overrides effortlessly while locking records post-session.

SOTA Facial Recognition

Powered by state-of-the-art vision architectures. Identifies students instantly within crowds, ensuring frictionless, high-throughput attendance logging without hardware constraints.

Hierarchical Ecosystem

A tightly integrated environment with strict role-based access control, ensuring everyone has precisely the tools they need.

Administrator

  • Global database control
  • System permissions management
  • User access & auditing

Head of Department

  • Overview of department
  • Manage advisors & staff
  • Departmental analytics

Course Advisor

  • Full attendance management
  • Student portfolio oversight
  • Report generation

Teaching Staff

Dedicated interfaces strictly for logging operations, preventing accidental data mutation.

  • Manual attendance entry
  • Execute facial scans

Students

Personalized tracking dashboards allowing continuous transparency.

  • View attendance scores
  • Analytics and trends

Engineered for Performance.

Built on a highly decoupled architecture. Deep learning components are segregated into independent microservices, ensuring the core platform remains drastically fast and responsive.

Django
Core Backend
FastAPI
ML Microservices
Redis + Celery
Cache & Queue
Uvicorn
ASGI Serving
Bash Scripts
DevOps & Auth
Tailwind CSS
Styling