Features Screenshots How It Works Tech Stack Journey Get Started →
99.2%
Face Match Rate
<1.2s
Recognition Time
Voice ID
Active
Real-time
Analytics
AI System Active — v2.0

Smart Attendance
Powered by AI

IDENTRA automates classroom attendance using facial recognition, voice biometrics, and machine learning — so teachers can focus on teaching.

0%
Recognition Accuracy
0k+
Students Tracked
0s
Avg. Attendance Time
0%
Paperless

Everything you need to run a smarter classroom

Six powerful tools, one seamless platform — built from the ground up for modern institutions.

🧬

Facial Recognition Login

Students and teachers authenticate instantly using FaceID — no passwords, no friction, zero buddy-punching.

🎙

Voice Biometric Attendance

Record a class saying "I am present" and IDENTRA's AI identifies each voice to mark attendance automatically.

📸

Photo Batch Scanning

Upload classroom photos and let the face analysis engine detect all enrolled students in seconds.

📊

Attendance Analytics

Per-subject reports with detailed stats, trend graphs, and one-click CSV export for institutional records.

🏫

Subject Management

Create subjects with unique share codes. Students self-enroll — the teacher just teaches, IDENTRA does the rest.

🔒

Role-Based Access

Separate portals for students and teachers with tailored dashboards, permissions, and data scoping.

Attendance in four steps

From class start to full record — under 60 seconds.

01

Teacher starts a session

Log in with FaceID, select the subject, and open a new attendance session. The AI is ready in under a second.

02

Capture the classroom

Take a photo of the class or record a short voice clip. IDENTRA's models scan every face and voice in real time.

03

AI marks attendance instantly

Results appear on the dashboard — who's present, who's absent, full stats. Export to CSV anytime.

04

Students track their own record

Each student has a personal dashboard showing attendance per subject, class history, and performance trends.

Built with the best tools

A handpicked stack for speed, accuracy, and scale.

🐍
Python
Core Language
🌶
Flask
Web Backend
🤖
face_recognition
Face Detection
🧠
DeepFace
Embedding Model
👁
OpenCV
Image Processing
🎙
SpeechBrain
Voice Biometrics
🗄
SQLite / PG
Database
JavaScript
Frontend Logic
📦
NumPy / Pandas
Data Analysis

From idea to production

The evolution of IDENTRA — built with passion, iteration, and late nights.

PHASE 1 — CONCEPT

The idea sparks 💡

Frustrated with manual roll-calls wasting 10+ minutes per lecture, the team envisioned a fully automated, AI-driven attendance system for colleges.

PHASE 2 — PROTOTYPE

Face recognition engine 🧬

Built the core face recognition pipeline using face_recognition and OpenCV. First successful match on a classroom photo at 94% accuracy.

PHASE 3 — EXPANSION

Voice biometrics added 🎙

Integrated SpeechBrain speaker identification so students can say "I am present" and the AI marks them automatically — even in noisy classrooms.

PHASE 4 — PORTALS

Dual portal launch 🚀

Launched separate Student & Teacher portals with full dashboards, subject management, FaceID login, and CSV export. Tested with 50+ real students.

PHASE 5 — NOW

Production & scale ☁️

Optimizing for speed, deploying to cloud, and exploring LMS integrations. IDENTRA is production-ready and growing.

Ready to automate your attendance?

Join hundreds of educators already saving hours every week with IDENTRA's AI-powered system.

🧑‍🎓 Student
I'm a Student
View attendance, mark presence & track performance across subjects.
→ Student Portal
👩‍🏫 Teacher
I'm a Teacher
Manage classes, run face analysis & review AI attendance reports.
→ Teacher Portal