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SIKSHALOG demonstrates a low-cost, scalable attendance automation model for rural schools. It aims to improve accuracy, reduce teacher workload, and enhance transparency in resource allocation through the use of AI and privacy-respecting technology.

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SIKSHALOG - Smart Attendance Management System for Rural Schools

Problem Statement ID: 25012 Problem Statement Title: Automated Attendance System for Rural Schools Hackathon: Smart India Hackathon (SIH) 2025


Overview

SIKSHALOG is an AI-powered smart attendance system designed for rural schools in India. It replaces time-consuming manual roll calls with automated face recognition and fingerprint-based verification. Built with an offline-first architecture, it works reliably even in low-connectivity areas, helping teachers save time, reduce manual errors, and ensure accurate reporting for government programs like the Mid-Day Meal Scheme.

The system provides a simple, web-based interface for marking attendance, generating reports, and ensuring fair allocation of resources. This prototype demonstrates real-time face recognition and sample UI, with additional features planned for future releases.


Tech Stack (prototype)

  • Frontend: React.js, TailwindCSS
  • Face Recognition: Face-API.js
  • Backend (Planned): Express.js
  • Database (Planned): MongoDB
  • Deployment: Netlify

Live Prototype

https://sikshalog.netlify.app/

(Initial web prototype showcasing face recognition and basic user interface. Full functionality, including fingerprint backup and analytics dashboard, will be implemented in future versions.)


Summary

SIKSHALOG demonstrates a low-cost, scalable attendance automation model for rural schools. It aims to improve accuracy, reduce teacher workload, and enhance transparency in resource allocation through the use of AI and privacy-respecting technology.


About

SIKSHALOG demonstrates a low-cost, scalable attendance automation model for rural schools. It aims to improve accuracy, reduce teacher workload, and enhance transparency in resource allocation through the use of AI and privacy-respecting technology.

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