AthleteRise offers an AI‑powered platform that analyzes cricket video footage to extract biomechanical metrics for batting, bowling, and fielding, then provides personalized technique recommendations and injury‑risk alerts. The system includes workload monitoring and a coach‑focused dashboard, enabling affordable, data‑driven training and talent tracking for young players and cricket academies.
Funding
Funding not disclosed
Founders
Product
Problem
Young cricket athletes and academies often lack affordable, data-driven tools for injury prevention, skill analysis, and personalized coaching, relying on limited manual observation and generic training programs.
Solution
AthleteRise is developing an AI-powered platform that delivers video-based biomechanics analysis and personalized feedback to young cricketers and their coaches. The system captures practice footage, applies computer‑vision models to extract swing, bowling, and fielding metrics, and generates actionable insights on technique and workload. By highlighting risk factors and suggesting corrective drills, the platform helps reduce injury incidence while accelerating skill development. Coaches and academies can monitor individual progress through a centralized dashboard, enabling data‑backed decisions on training intensity and talent identification. The service is designed to be affordable and scalable, making advanced analytics accessible to grassroots cricket programs.
Target Audience
Primary users are young cricket players, their personal coaches, and cricket academies seeking data‑backed training and injury‑prevention solutions.
Features
- AI-driven video analysis that automatically extracts key biomechanical parameters for batting, bowling, and fielding
- Personalized performance reports with technique recommendations and injury‑risk alerts
- Workload monitoring tools that track training volume and suggest optimal rest periods
- Coach and academy dashboard for tracking player progress, comparing metrics, and managing training plans
- Integration of video upload and feedback loops via a web interface accessible on standard devices