A Recommender System Architecture for University Curriculum Advising
This study proposes a goal-based agent recommender system for undergraduate students using a large language model, tailored to curriculum requirements, prerequisites, and student preferences. The system optimizes course selection, streamlines degree path exploration, and predicts enrollment metrics, reducing advisor workloads and promoting academic engagement, ultimately enhancing student success and increasing the overall academic achievement of the student body.
May 28, 2025
Course Recommender System
A LLM-powered course recommender system tailored to university curriculum requirements, prerequisites, and student preferences, optimizing course selection and streamlining degree path exploration.
May 1, 2024
Automative Debug Assistant
An agentic LLM-powered automated code debugging assistant with custom job system scheduler and custom-made programming language parser for workflow design.
Aug 31, 2023