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EduScan - Attendance System Based on Facial Recognition

Team Members:

Erum Meraj

Tania Banerjee

Vruddhi Shah

Objective:

Manual attendance tracking is time-consuming for teachers in educational institutions. It can result in errors and discrepancies in attendance records.Transcribing attendance data from paper records to a computerized system can be a time-consuming and labor-intensive task, especially in large educational institutions with numerous classes and students. This system aims to overcome these challenges by simplifying attendance management.

Features:

  • Marking attendance based on facial recognition
  • Generate reports of the student’s attendance in different lectures
  • Sending monthly e-mails to the student if their attendance is below 75%
  • A dedicated frontend for students, allowing them to view their own attendance records and receive notifications
  • A leaderboard based on attendance
  • A discussion panel where students and teachers can engage in discussions on educational topics.

TechStack:

  • Python
  • Dash
  • OpenCV
  • HTML, CSS
  • Javascript
  • React.js
  • Postgresql

Future Scope:

  • Developing a comprehensive dashboard for teachers and administrators with more detailed statistics and visualizations like graphs and charts
  • Implement class duration tracking to provide insights into how much time each student spends in class
  • A quizzing module within the app to allow teachers to create, administer, and grade quizzes, tests, and assessments digitally

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