Country : United States
Client : Ryan Bouba, AI Startup Company
This project used three years of marathon data to predict runners’ final positions in upcoming events. Data included race times, runner profiles, and course details.
A startup wanted to use the machine learning models to assist organizers with pacing strategies, wave grouping, and event logistics.
The system aimed to improved race flow, resource use, and runner experience through accurate performance forecasts.
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