AUTOMATED ATTENDANCE AND STUDENT PRODUCTIVITY
Link to open source: https://github.com/RinkiSingh23
Automated Attendance & Student Productivity System
This is a web-based system designed to streamline attendance tracking and monitor student productivity in educational institutions. It leverages QR codes, GPS location verification, and an interactive dashboard to make attendance management smarter, faster, and more reliable.
Features:
For Students:
1.QR Code Check-In: Scan the QR code generated by teachers to mark attendance.
2.File Upload Option: Students can upload QR images if camera scanning isn’t available.
3.GPS Verification: Confirms that students are physically on campus before marking attendance.
4.Productivity Dashboard: View personal productivity stats and progress.
5.Assignments Section: Track pending assignments and project submissions.
For Teachers:
Generate Daily QR Codes: Create attendance QR codes for each session.
Set Campus GPS Coordinates & QR Expiry: Ensure students can only mark attendance within a defined area and time limit.
View Student Dashboards: Preview individual student dashboards and productivity stats.
Download Productivity Data: Export all students’ productivity metrics for analysis.
Attendance Records: Maintain a digital log of attendance for easy tracking.
Tech Stack
Frontend: HTML, CSS, JavaScript
QR Code Libraries: html5-qrcode for scanning, QRious for generating QR codes
Backend: (Optional) Can be connected with Python Flask or Node.js for data persistence
Location Services: Browser-based GPS API for real-time location verification
How It Works:
Teachers log in and generate a QR code for the day’s session.
Students log in, scan the QR code, and optionally verify their GPS location.
Attendance is recorded automatically and synced with dashboards.
Productivity stats are tracked based on attendance, assignments, and project submissions.
Ideal For
Colleges, universities, and training institutes
Hackathons and project-based learning environments
Educators looking for an efficient attendance system with real-time tracking
This build was uploaded as a hackathon project
