Autism spectrum disorder is a difficult condition to diagnose, due to the lack of conclusive medical test. My team in Seattle Children's develop a game designed to measure children’s executive function (EF) score, which is fitted into a machine learning model to accurately diagnose autism. I created a secure channel to transfer the EF data from client’s devices to the Seattle Children’s in compliance to HIPAA. I also researched and implemented various rewards mechanics designed to make these games as appealing to children as possible. This project will serve as an improvement in the way ASD is diagnosed.