Project Overview I’m building a mobile-first cricket batting analysis app(Android & iOS) that uses on-device computer vision to help players improve their batting technique. This is an early-stage MVP with a very clear scope and architecture. The goal is to build a working, testable v1, not an over-engineered product. --- What You’ll Be Working On (MVP Scope) * Flutter app (single codebase for Android & iOS) * Mobile camera & video recording (5–10 sec clips, landscape, side view) * On-device pose estimation (MediaPipe or similar) * Simple geometry-based analysis (no heavy ML training): * Head stability * Bat downswing angle * Front-foot position * Results screen with clear feedback * Local storage of analysis results * Light Firebase integration (Auth + subscription flag only) Required Skills Must-have: * Strong experience with Flutter * Hands-on experience with mobile camera/video handling * Practical exposure to Computer Vision * MediaPipe, OpenCV, or pose estimation * Comfortable working with on-device ML / CV * Ability to write clean, modular, maintainable code Nice-to-have * TensorFlow Lite / CoreML * Firebase (Auth, Firestore) * Sports-tech or fitness apps * Startup or indie-hacker experience --- Who This Is For * Developers who enjoy applied AI, not just theory * People who can simplify problems and move fast * Comfortable building MVPs with clear trade-offs * Not suited for agency-style or overly corporate workflows Working Style * Clear requirements & architecture provided * Async-friendly communication * Founder handles product direction * You focus on technical execution & decisions --- To Apply, Please Include 1. Short introduction (who you are, what you build) 2. Relevant Flutter projects (GitHub / portfolio) 3. Any experience with MediaPipe / pose estimation / CV 4. Your availability (hours per week) --- If you’ve worked on: * Sports apps * Fitness/motion tracking apps * Camera-heavy mobile apps