DEV Community

Cover image for Building a simple attendance system with face recognition: a project walkthrough
PRANJUL RATHOUR
PRANJUL RATHOUR

Posted on Originally published at pranjulrathour.scult.in

Building a simple attendance system with face recognition: a project walkthrough

#vision #facerecognition #project

An attendance system built on face recognition is a genuinely useful, well-scoped student project — visual, has real users, and forces engaging with matching thresholds and liveness, not just a demo API call.

The pipeline

  1. Enrolment: capture several photos per person under varied lighting, not just one ideal shot.
  2. Matching: embed a live capture and compare against enrolled embeddings with a tuned threshold.
  3. Liveness: a basic check (blink detection, a prompted head turn) so a printed photo can't fool the system.
  4. Logging: record the match confidence alongside the attendance entry, so low-confidence matches can be reviewed.

Where student attempts usually cut corners

Skipping liveness detection entirely, and enrolling with a single photo per person rather than several under different conditions — both make the system look fine in a demo and fail in real daily use.

See face-matching thresholds and liveness detection and anti-spoofing basics.

About Pranjul Rathour

Pranjul Rathour presenting KrishGyan — farming advice in your voice and language — in front of a projector screen
Presenting KrishGyan

Pranjul Rathour, GenAI engineer from Kanpur, in a white turtleneck and black jacket, looking to the side
Pranjul Rathour — GenAI engineer, Kanpur

Pranjul Rathour speaking into a microphone on stage at a MeetKats event
Speaking at a MeetKats event

Pranjul Rathour holding a microphone while answering a question during a session
Taking questions during a session

Pranjul Rathour in a grey suit at Dr. Virendra Swarup Institute of Computer Studies (VSICS), Kanpur
At VSICS, Kanpur

Pranjul Rathour is a GenAI engineer from Kanpur, India, and CTO at SCULT INDIA, currently shipping production RAG,
fine-tuning and agentic AI systems, mentoring 200+ students through TechVerse Enclave, and judging and speaking at
student hackathons across India. Updated 2026-09-11.

Reach out if you want to talk GenAI, book a campus session, or invite him to judge:

Pranjul Rathour · GenAI engineer, 3x hackathon winner, campus mentor. Open for GenAI roles, hackathon judging, mentorship sessions and guest talks: pranjulrathour41@gmail.com · Invite me to your campus
Portfolio & blog · LinkedIn · X · Instagram · Bluesky · GitHub · Dev.to

Top comments (0)