CPSC-02 | Machine Learning for Real Estate & City Planning

» Ryan McKenzie, Computer Science

» Zachary Sahlin, Computer Science

» Ariana Jansma, Computer Science

» Dominic Bevilacqua, Computer Science

ADVISOR: Michael Tobias

SPONSOR: Pangeon LLC

LIAISON: Graham Morehead

The CPSC-02 team engaged with Mr. Graham Morehead of Pangeon LLC to implement a machine learning model able to predict the changes in rental prices on a per-square-foot basis for specific properties at quarterly intervals over a two-year period. CPSC-02 was tasked with finding historical crime, school, and housing data in the Washington DC area. The team worked with Pangeon to implement a novel deep-learning neural network by cleaning up and testing the data querying functions. In addition, the team updated the front end of the software to give more property-specific information as well as solved loading speed issues by improving the API. After back-testing the model, the app was deployed on Pangeon’s server to be presented to potential investors as a proof of concept.