🚀 Powered by Advanced AI & Computer Vision

The Future of
Classroom Management
is Here.

Seamless, contactless attendance and real-time monitoring for UIIT, powered by advanced AI and computer vision.

Face Recognition

SCANNING...

Revolutionizing Campus Operations

Next-generation attendance and monitoring powered by cutting-edge AI technology

Facial Recognition Engine

Clean ID card graphic transforming into face scan with 99.9% accuracy using advanced RetinaFace AI technology.

99.9% accuracyRetinaFace AI
ID
Match
Face
Detect

Class Held Reports

Auto-verify teacher presence with green checkmark verification and comprehensive attendance documentation.

Auto-generated · PDF export ready

Status
Verified

Dynamic Timetable

Mini calendar UI showing real-time class rescheduled notifications with smart conflict detection.

This week5 classes
Rescheduled

Conflict detection · Room allocation

Low Attendance Alerts

Proactive bell icon with red notification dot alerting students falling below attendance thresholds.

Active alerts1 warning
Below 75%
Current: 68%
Attendance68%

Reports & Analytics

Export attendance reports to PDF or Excel, view trends and insights for faculty and administration.

Export formatPDF · Excel
Class reports
Trends

Last exported: Today · By department

Simple 3-Step Process

From capture to insights in milliseconds

1

Automated Capture

CCTV cameras capture video feeds from classrooms.

2

AI Analysis

Our model detects faces and matches them against the database.

3

Instant Updates

Attendance is marked, and dashboards are updated instantly.

Meet Our Team

Dedicated individuals bringing innovation to campus management

22-ARID-797

Malik Hadi Zulfiqar

Developer & Database Architect

22-ARID-781

Haleema Shahid

Designer & AI Engineer

Project Supervisor

Dr. Muhammad Aqib

Assistant Professor

Final Year Project | University Institute of Information Technology