How We Built PrezScan: Free Hardware-Free Biometric Attendance for Indian Universities

Description and use

PrezScan is a free, hardware‑free web app for biometric attendance in Indian universities, using facial recognition and campus Wi‑Fi geofencing, ensuring privacy and instant reports.

Problem

Hundreds of students line up daily before faulty fingerprint machines, causing delays.

Outcome

PrezScan eliminates hardware failures, reduces queue times, ensures privacy by keeping raw photos local, and provides instant audited attendance reports.

Workflow

• Students open the PrezScan web app on a device
• The app captures a 68‑point facial image via the camera
• Client‑side WebGL GPU processes the image to a 128‑dimensional vector
• The app checks the student’s Wi‑Fi subnet to confirm campus location
• If both checks pass, attendance is recorded locally and synced to the server
• Admins export attendance as audited Excel reports with timestamps and session hours

Evidence

Every morning across engineering colleges and universities in India, hundreds of people line up in front of wall-mounted fingerprint machines that break down and cause morning delays.

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Dual‑Lock Anti‑Proxy Attendance: Enforces a physical double‑lock combining on‑device 68‑point AI facial recognition with academic building Wi‑Fi subnet (CIDR) geofencing.

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Sub‑200ms Verification: Runs client‑side directly in the browser engine using WebGL GPU acceleration.

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100% Privacy by Design (DPDP Act 2023 Compliant): Raw face photos are never sent over the internet or stored on servers; only local 128‑dimensional mathematical vector embeddings are evaluated.

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1‑Click Audited Excel Reports: Monthly attendance ledgers export complete timestamps and session hours instantly in formatted spreadsheets.

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