Our team of 4 trained and tested several different ML models on movie data in order to predict that the new Minecraft movie will have a ~53% rating. Find out more here.
During my LLNL internship, I constructed a dashboard for the graduate program, complete with document storage, timed email notifications, real-time progress display, and filtering and sorting functionalities.
Using Qt software, I created a social networking app with post/comment and profile functionalities, as well as friend networking using data structures and graph algorithms.
I trained a Decision Tree classifier model to detect bot accounts given profile, account, and activity data with an ~85% accuracy.
Our hackathon team designed a dynamic traffic-mapping app with destination search, live traffic conditions, and route calculation using Google Maps API and INRIX's APIs.