This paper involves a web-based attendance tracking system designed using Flask, with distinct modules for students, event coordinators, and faculty members. Students can log in to apply for attendance for extracurricular events and track their application status in real-time. Coordinators can review and authorize these applications efficiently, while faculty members receive a finalized list of student attendance. The system incorporates a recommendation feature that suggests events to students based on tags from events they have previously attended. Event details, including posters, are uploaded by coordinators, and an event dashboard showcases upcoming events. The application ensures seamless integration of attendance data, enhances event participation, and streamlines the approval process, providing a user-friendly experience for all roles. Additionally, it uses a basic content-based filtering technique to recommend relevant events, showcasing the use of data-driven personalization in student engagement.

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EventEase: A Flask-Based Cloud Application with Content-Based Filtering for Automated Event Attendance and Analytics

  • S. Parvathy,
  • Diya K. Anoop,
  • Adrija Devbarma

摘要

This paper involves a web-based attendance tracking system designed using Flask, with distinct modules for students, event coordinators, and faculty members. Students can log in to apply for attendance for extracurricular events and track their application status in real-time. Coordinators can review and authorize these applications efficiently, while faculty members receive a finalized list of student attendance. The system incorporates a recommendation feature that suggests events to students based on tags from events they have previously attended. Event details, including posters, are uploaded by coordinators, and an event dashboard showcases upcoming events. The application ensures seamless integration of attendance data, enhances event participation, and streamlines the approval process, providing a user-friendly experience for all roles. Additionally, it uses a basic content-based filtering technique to recommend relevant events, showcasing the use of data-driven personalization in student engagement.