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Recent Talks & Demos are for members only
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Learn how to use GPS data and AI to automatically compute sprint, speed, acceleration, and occupancy metrics, then analyze and summarize player performance over time.
I created a Streamlit app that utilizes GPS data from my smartwatch to calculate metrics, including sprints, Maximum Speed, Accelerations, Velocity, and Occupancy maps. I’ll use an agentic workflow to analyze each session and summarize it in a shared memory of the player’s progress. This temporal analysis could help me (and other players) obtain an objective assessment of their weaknesses and strengths without relying on coaches, expensive cameras, and others.
Streamlit platform for Python data analysis, featuring custom code editor UI.
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