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Sophomore CS @ UT Austin interested in web/mobile dev, theoretical CS, quantum computing, and AI. Hope to learn and have fun at hackathons!
We built a system that generates a dynamic timeline that shows the best laps for a team to have a pit stop. This timeline adapts to race conditions such as rain, safety cars, or opponents strategies.
We trained an AI with hundreds of images of car crashes to recognize car crashes. With that, FenderFinder can recognize crashes and inform those within 5 miles, with the app installed about the crash.
Bringing the Power of Vector Embedded Artificial Intelligence to improve Reddit Search