KD Vo and I built a rock, paper, scissors classifier from scratch. Going through data collection, feature selection, and classifier implementation and optimization, we made a model with a live classification accuracy of 80%. For the code and a more in depth look at the project, use the link below to our Github repository and the link in our README to the report!