100m, 200m, 400m Performance Predictive Analytics

Using historical as well as live data obtained from wearable trackers on athletes training for some collegiate athletic events, we attempted to provide some useful, predictive insights on who the best performing athletes were for… · More their upcoming collegiate athletic events.
We assessed crucial variables such as acceleration, speed, displacement, muscle tension, lactic acid build rates, breathing rates, heart rate, etc to construct a machine learning, predictive algorithmic model trained on historical data to make some meaningful predictions on who the best runners were for the various 100m, 200m and 400m races.