Our project goal is to implement back-end server module using machine learning-based algorithm. The project involves designing machine learning algorithms in a data-driven fashion to facilitate the following:

1. Quantitative and algorithmic-driven approach in analyzing the inter- and intra­relationships between various hardware components within each user's DIY computers and the PC-gaming performance, as measured by metrics such as frames per second
2. Automatic system that intelligently recommend 'upgrades' or 'rebuilds' based on individual user's preference/requirements on the gaming performance