AsliAIMonitor is an AI-powered teacher attendance and verification system designed for schools to ensure accountability and transparency. Students or parents can upload classroom photos when a teacher is absent, and the system verifies authenticity using AI-powered image validation. Submissions are restricted within a 120-meter geofenced radius and limited to official school hours to prevent misuse. The platform also automatically marks attendance when a teacher enters the school’s designated geofence area. Powered by the Gemini SDK and geospatial validation logic, the system combines AI verification with location intelligence for secure and reliable monitoring.

Tech Stack

• Node.js
• Next.js
• Gemini SDK
• Geofencing System

Key Features

• AI-based image authenticity verification for absence reports.
• 120-meter geofenced submission restriction.
• Automatic attendance marking via geofence detection.
• Time-based validation limited to official school hours.

My Role

I was responsible for developing the complete full-stack system, integrating Gemini SDK for AI-based image verification, implementing geofencing logic for radius and time restrictions, and building secure APIs and frontend workflows to ensure reliable attendance automation.

Challenges & Solutions

The core focus was designing a secure system that prevents misuse while maintaining accuracy. Implementing geospatial boundaries, time-based restrictions, and AI verification required careful coordination between frontend validation, backend logic, and real-time location handling to ensure trustworthy attendance tracking.