All Features
Built for the realities of Indian universities
Pratyak combines AI face recognition, real-time notifications, compliance tracking, and deep campus management integration into one system designed for how Indian campuses actually operate.
AI Engine
Face recognition trained on Indian campuses
Most face recognition systems struggle with Indian diversity — varied skin tones, regional features, different lighting conditions. Pratyak's model was trained specifically on Indian university datasets, delivering consistent accuracy across all demographics.
< 10s
Recognition speed
< 0.3%
False positive rate
60+
Concurrent faces
50–2000 lux
Lighting range
AI MODEL v4.2
98.7% accuracy
Scheduled Auto-Capture
Cameras activate automatically based on the FretBox timetable. No manual trigger, no faculty intervention. Works even if the teacher is late.
Multi-Face Detection
Detects and identifies up to 60 faces simultaneously in a single frame. Handles partial faces, glasses, masks, and varied skin tones with high precision.
Continuous Learning
The model improves with each capture cycle. Faculty corrections are fed back into the training loop, increasing accuracy semester over semester.
Anti-Proxy Detection
Detects photo spoofing and liveness violations. Students cannot use photos or videos to fake presence. Biometric integrity is enforced at the hardware level.
Offline Mode
Campus internet down? Pratyak captures and processes locally, syncing with the server when connectivity is restored. No attendance is ever lost.
PDPA-Compliant Storage
Biometric data is encrypted at rest and in transit. Face vectors are stored separately from identity data. Full compliance with Indian data protection guidelines.
Notifications
The right information, to the right person
Students, faculty, and admins each get role-specific alerts — no noise, no information overload.
Student
You were marked present in CS-301 today at 09:03 AM
Just now
Your attendance in CS-301 is 72.4% — above the 70% minimum
2 days ago
Warning: Your MA-201 attendance has dropped to 68.1%
1 week ago
Faculty
CS-301 attendance complete: 38/40 present (95%)
Just now
2 students marked absent: Sneha Iyer, Rahul Mishra
Just now
Weekly summary ready: CS-3A average attendance 81.4%
Yesterday
Admin
14 students campus-wide at risk of exam ineligibility
1 hour ago
Semester report exported: 2,847 students processed
Yesterday
Camera offline: Room 204, Lab Block B — check required
3 days ago
Analytics
Attendance intelligence at every level
From individual student records to campus-wide dashboards — Pratyak gives every stakeholder the exact data they need, in the format they need it.
Student-level
Daily log, subject-wise breakdown, 70% threshold indicator
Class-level
Per-session attendance, absent student list, faculty notes
Department-level
Aggregate trends, at-risk student list, faculty comparison
Campus-level
Cross-department overview, exam eligibility summary, export to PDF/Excel
Department Attendance
Book a Demo
Watch every feature work live on your campus
Book a 30-minute demo with our team. We'll run a live attendance session, walk through every feature, and answer your technical questions — no slides, no fluff.
Pilot goes live within 72 hours of your demo.