Go! Multi Sport Start Analytics App
CWSF · 2026 Digital Technology Bronze Medal
Overview
Scientific analysis of starts is critical in sports where success is often determined by milliseconds, making reaction and motion times valuable factors to exploit and improve. While performance is influenced by genetics and fatigue, athletes can improve through training and data tracking. This project sought to develop the GO! Multi Sport Analytics App, that helps athletes analyze and monitor their starts for improvement. The app was coded using Google Gemini AI coding agent, Cursor, and Android Studio, and records 10-metre sprints over five days. Recorded reaction and motion times are displayed in graphs and data tables to track performance trends. Athletes use video analysis to refine their start techniques and correct their movements during practice. As anticipated in the hypothesis, results showed significant improvements in reaction and motion times for long-distance running and long-track speedskating, demonstrating the GO! Multi Sport Analytics App's effectiveness in responsiveness and motion during starts.
Awards (2)
- Bronze Medal
- Selected for CWSF 2026
Competition history
- CWSF 2026
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