Group Members

Kevin Procopio, Sedem Fialor, Jeremy Danziger


We aim to create an application that predicts the box office revenue of hypothetical, user­created movies based on the actors, directors, keywords, genre, release date, and additional selected characteristics. We also plan to allow users to see the projected versus actual gross revenues of existing movies based on the application’s model. The motivation behind this project is a practical use for professional movie production. Such an application could be used by producers to ensure that they are making sound decisions when formulating future movies. If the regression is successful, easy­to­use, and accurate, it has the potential to be a valuable product, which could be in theory monetized if the regression were strong enough.