Google Cloud x MLB Hackathon Grand Prize Winner Pitcher Scorecard
AI Summary
Video Summary: Customizable Pitch Analysis Tool
Introduction: The speaker, a former shot putter, discusses the limitations of motion capture technology for analyzing sports techniques.
Concept: Developed a customizable prompt generator for analyzing pitches, using Gemini API and Google Cloud, completed in one week.
Target Audience: Designed for both professional and amateur pitchers.
Professional Analysis:
- Uses video of MLB pitcher Clayton Kershaw.
- Pre-processes video with OpenCV and stores in Google Cloud.
- Pulls MLB data for pitch type and game state.
- Generates tailored instructions and prompt details.
- Example: Kershaw’s curveball performance analysis shows minimal deviation from ideal.
Amateur Analysis:
- Includes parameters for less experienced players.
- Co-host Richard’s pitch analyzed, showing need for improvement (tightening arm and increased leg drive).
- Gemini adjusts its grading rubric based on skill level.
Technical Insight:
- Gemini processes multiple frames simultaneously for a comprehensive analysis.
- The application worked efficiently without the need for complex models or datasets.
Conclusion: This tool democratizes personalized coaching for athletes at any level, making advanced analysis accessible without high-resolution cameras.