HitLabAI
AI-powered softball swing analysis application for youth players
Technologies
Project Overview
HitLabAI is an AI-powered swing analysis application designed to help young softball players improve their hitting technique. Players can upload videos of their swings and receive detailed feedback and training recommendations.
Key Features
Video Swing Analysis
Upload swing videos and receive frame-by-frame analysis of batting mechanics including stance, load, stride, and follow-through.
AI-Powered Feedback
Machine learning models identify areas for improvement and provide personalized coaching tips based on the player's skill level.
Progress Tracking
Track improvement over time with swing metrics, comparison views, and milestone achievements to keep young players motivated.
Training Drills
Receive customized drill recommendations based on identified weaknesses in swing mechanics.
Technical Stack
- Frontend: React for responsive video playback and analysis interface
- AI/ML: TensorFlow.js and MediaPipe for pose estimation and motion tracking
- Backend: Node.js for video processing and analysis pipelines
- Storage: Cloud storage for video uploads and analysis results
Use Cases
- Youth softball players ages 8-18
- Travel ball teams looking for technical improvement
- Coaches wanting objective swing data
- Parents tracking their child's development
Status
In development with core swing analysis features functional.