Project

Overview

Game Success Predictor was created with a backend using Sci-Kit Learn, Flask, and Python; a frontend using Next.js and TailwindCSS; and a PostgreSQL database. Users are able to input a title of a game they plan on creating, select features of said game, and see the results of the machine learning algorithm that predicts the game's chances of success. In the future, I plan on adding the ability to input a custom dataset so that the project maintains updated with the latest game sale information.