https://drive.google.com/file/d/1lOX0XJ5lJLaQIj5bs_BUYHTiQhCPrrvR/view?usp=sharing

https://asur-ams.vercel.app/

Demo credentials for teacher view :- email :- [email protected] || password :- asursnu

1. Geofencing with Precise Location Tracking:

   • A Flutter app utilizing Geolocator for geofencing to ensure precise classroom attendance marking.
   • Conducted research to obtain accurate user coordinates, employing location smoothing and the Haversine theorem.
   • Modeled the assumed classroom shape as an ellipse for improved accuracy.

2. Facial Recognition for Secure Attendance:

   • Implemented facial recognition technology to confirm attendance securely.
   • Used Firebase for authentication and image storage to enhance security measures.

3. Comprehensive Backend:

   • Utilized Express.js as the backend framework to handle server-side operations.
   • Employed MySQL for efficient database management, ensuring reliable storage and retrieval of attendance data.

4. Real-time Attendance Tracking:

   • Developed a Next.js website for teachers to control attendance.
   • Enabled real-time tracking of attendance, providing instant updates to teachers and administrators.

5. Enhanced Classroom Efficiency:

   • Improved student engagement through real-time attendance tracking.
   • Provided subject-wise percentages for a more comprehensive overview of attendance patterns.

• The professor initiates attendance by making the class "Live" using the ASUR app.

• Students enter the classroom and initiate the attendance process by performing the first face scan at the beginning of the class.

• During the class, the ASUR app performs periodic location tracking to ensure students remain inside the class.

• To be marked present, a student must:
  • Perform the first face scan at the beginning of the class.
  • Be present for at least 75% of the class duration inside the class.
  • Complete the second face scan at the end of the class within 60 seconds.

• The professor ends the class using the ASUR app.

• A notification is sent to every student's phone, indicating that the class has ended and prompting them to perform the second face scan within 60 seconds.

• Students perform the second face scan within the specified time frame.

• Based on the completion of the attendance criteria, the ASUR system automatically marks the attendance:
  • If all criteria are met, the student is marked as present.
  • If any criteria are not met, the student is marked as absent.

• front-end: Contains the Flutter app for student attendance.
• nextjs_website repo link : https://github.com/punyamsingh/asur-next

1. Clone the repository.
2. Set up the Flutter environment for the Flutter app.
3. Install dependencies for the Express.js backend and Next.js website.
4. Configure Firebase authentication and storage.

1. Launch the Flutter app on student devices for automatic attendance marking.
2. Access the Next.js website for teacher attendance control.
3. Utilize the facial recognition feature for secure attendance confirmation.

• Frontend:

  • Flutter
  • Dart

• Backend:

  • Express.js
  • Rest API

• Database:

  • MySQL

• Authentication and Storage:

  • Firebase

• Web Interface:

  • Next.js

• Aayush Arora - App Frontend (Flutter, Dart, Firebase)

• Rahul Jayaram - Server Side and Backend (Node, Express, Mysql)

• Punyam Singh - Webapp Frontend and Hosting (React, Next, Mysql)

Feel free to contribute and improve the ASUR system!