Classify: Intelligent Semester Scheduler
Authors: Bryan Cortes, Alice Vang, Hinal Halani, Kazi Ruslan Rahman
Faculty Supervisor: Hao Jiang
Department: Engineering
Classify is a user-friendly scheduling system tailored for academic departments, with a focus on the Engineering Department. It aims to overcome challenges in semester class scheduling due to the diverse needs and course requirements of a large student body. The project stems from the need to address the inefficiencies and conflicts in current scheduling processes, aiming to optimize class schedules to minimize conflicts and maximize course availability. The system will use student schedule data and the previous master list data to train an algorithm, predicting and formulating optimal class schedules.