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