Our team won the Wolfram sponsor award by Wolfram Research. Developed a mobile app that leverages machine-learning to predict dining common busy-ness and identify student dining habits, for use by students and UMass Dining.
Our project consists of a React Native application that interacts with a Prophet forecasting procedure deployed on a Flask server hosted by Digital Ocean. I worked on deploying a model using the open-source time series prediction mechanism called Facebook Prophet to make a sensitive model in python for accurate predictions.