Inspiration

What it does

How we built it

Challenges we ran into

Accomplishments that we're proud of

What we learned

What's next for AI Smart Campus Attendance System

Inspiration

Traditional attendance tracking using roll calls or paper sheets is slow, prone to proxy attendance, and inefficient for modern campuses. We wanted to build a smart, automated solution that simplifies attendance management for students and faculty alike using an AI-powered, real-time workflow.

What it does

AI Smart Campus Attendance System streamlines campus attendance management:

  • Real-Time Scanning & Processing: Captures and logs student attendance instantly.
  • Interactive Dashboard: Allows faculty to monitor attendance logs, student entries, and real-time statistics.
  • Secure Data Handling: Manages student records cleanly and prevents duplicate or invalid entries.

How we built it

  • Frontend: Built with HTML5, CSS3, and JavaScript for an intuitive, responsive UI dashboard.
  • Backend & Logic: Node.js, Express, and SQLite (server.js) to process attendance events, store records, and manage APIs.
  • Deployment: Live demo hosted on Netlify and version control managed via GitHub.

Challenges we faced

  • Setting up real-time state synchronization between the UI and local database without lag.
  • Resolving Git remote origin configurations during deployment.

What's next for AI Smart Campus Attendance System

  • Integrating facial recognition models directly in the client browser.
  • Adding automated SMS/Email alerts for low attendance thresholds.
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