TamSched: Integrating Natural Language Processing and Genetic Algorithm for Optimal Course Scheduling of Irregular Students in the College of Computer Studies and Multimedia Arts Department at FEU Institute of Technology
TamSched is a web application that helps irregular students generate conflict-free class schedules. It uses Natural Language Processing (BERT) to understand student inputs and a Genetic Algorithm to create schedules that consider prerequisites, preferences, and course availability. By automating the scheduling process, TamSched reduces the time and effort students spend planning their classes.
Group Members
Marielle D. BasanesKatrina Sofia D. FabellarJohn Dale C. GuiangMarc Gabriel L. YbayDavid Joshua V. YusiMentor
Dr. Beau Gray M. HabalTopics
Natural Language ProcessingAVP
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