AI-Powered Recommendation System for Optimal PC Specifications Using Machine Learning

Abstract - Choosing the right PC build for gaming is not an easy option, as it will come down to prioritizing performance, budget and future-proofing. Most of the users have no idea how to choose hardware parts that will give them maximum performance at minimum cost for a certain videogame. This paper present an ML driven recommendation that would recommend the best-suited PC specs based on game requirements and the hardware benchmarks available on the datasets. This model  trained on  Random Forest, an ensemble learning method that detects things such as CPU-GPU compatibility of RAM, and similar performance. Data: Efficiently & accurately predict configurations using Random Forest model trained on data gives 90% predictive accuracy on optimal configurations - i.e. no bottlenecks and no over –provisioning. This system gives the gamers a budget friendly system