Portfolio Details

Project information

  • Category: Team Project
  • Client: KHU Members
  • Project date: 19 March 2025 ~ 06 April 2025
  • Project URL: coming soon
  • 🎉🎉🥈Second Place, 1st Semothon Competition🎉🎉

EPiC: Edu Path in Computer Science

This project provides three core features to help university students plan their academic paths more efficiently.
First, by training an LLM model on academic regulations and curricula from the School of Software Convergence, students can easily identify unmet graduation requirements, thereby reducing information gaps caused by inconsistent communication.
Second, based on graduation requirement analysis and user-defined interest keywords, the system recommends an optimized curriculum and allows users to ask follow-up questions for flexible academic planning.
Third, students can upload their individual timetables to visually compare available time slots, making it easier to coordinate group activities and manage community-based schedules.