AI Running Coach with Smart Sneakers
Health & Fitness
Project Overview
Traditional running apps provide generic training plans that ignore individual biomechanics and performance data, leading to suboptimal results and injury risk. This AI-powered coaching platform analyzes real-time data from smart sneaker sensors to understand each runner's unique gait, pace patterns, and performance metrics, creating truly personalized training plans that adapt based on actual performance data.
The Challenge
Generic running programs ignore crucial individual factors like gait mechanics, recovery patterns, and performance variability that determine training effectiveness. Without real-time biomechanical feedback, runners develop inefficient patterns that lead to injury and plateaued performance. Traditional apps can't adapt to day-to-day performance variations or provide insights into running form improvements.
Solution
Developed an AI coaching system while at Riseapps that processes real-time biomechanical data from IoT sensors embedded in running shoes. The platform analyzes gait patterns, ground contact time, cadence, and impact forces to create personalized training plans that adapt daily based on performance metrics and recovery status. Runners receive real-time form feedback and customized workouts that optimize their unique biomechanics for improved performance and injury prevention.