Exploring the capacity of using Neural Networks and Algorithms to dynamically schedule University of Toronto student schedules.
Findings: Implemented RNN can predict class difficulty with 5% error using minimal data input.
Currently in the process of researching alternative solutions to RNN's and to establish the connection between the web-interface and the backend.
Michelle Collins - Machine Learning, Algorithms, and Front End
Stone Yang - Backend and Database