Education

AI-Powered Attendance System for a Multi-Branch Educational Institution

A face-recognition attendance platform with edge camera capture, centralized dashboards, and automated payroll sync.

Client
Confidential — Educational Institution (12 campuses)
Timeline
6 weeks from discovery to campus rollout
Technologies
PythonOpenCVReactNode.jsMongoDBAWS

Client Overview

A 12-campus educational institution needed a reliable way to track staff and student attendance without relying on manual sign-in sheets or fragile RFID cards, while keeping the system affordable to operate across all locations.

Business Problem

Manual attendance created three compounding issues: inaccurate payroll data, no way to catch buddy-punching, and zero real-time visibility for administrators trying to manage staffing across campuses.

Our Solution

We designed and shipped a face-recognition attendance platform: edge cameras at each entrance perform on-device face matching, syncing attendance events to a centralized dashboard in real time, with automated payroll exports replacing manual entry entirely.

Features Implemented

  • Real-time face recognition check-in/out at each campus entrance
  • Centralized admin dashboard with live attendance across all branches
  • Automated payroll export and anomaly flagging
  • Role-based access for campus admins vs. head office

Results Achieved

  • 98.7% recognition accuracy in production
  • 60% faster check-in flow vs. manual sign-in sheets
  • Eliminated buddy-punching across all 12 campuses

Business Benefits

  • Administrators get real-time visibility instead of end-of-month reconciliation
  • Payroll team saves ~15 hours/month on manual attendance entry
Scalability: Built on a multi-tenant architecture — new campuses are onboarded by registering a camera endpoint, no code changes required.

Ready to build something exceptional?

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