Computer Vision Developer Needed for Sports Performance Analytics MVP

I am looking for an experienced Computer Vision / AI developer to help build an MVP for a sports analytics application. The goal is to use a smartphone camera to analyze athlete movement during a sporting event and generate performance indicators in real time. This is an early-stage prototype focused on proving technical feasibility before expanding into a larger platform. Initial MVP Requirements - Track a single athlete from smartphone video - Analyze movement patterns - Measure speed and acceleration - Detect high-intensity movement events - Generate performance indicators at regular intervals - Display results on a mobile interface Preferred Skills - Computer Vision - OpenCV - YOLO or similar object detection frameworks - Sports analytics experience - Mobile application development - Real-time video processing When Applying Please include: 1. Similar projects you have worked on 2. Experience with computer vision and video analytics 3. Experience in sports technology (if any) 4. Estimated timeline 5. Estimated budget range 6. Suggested technical approach Important This is an MVP focused on validating the concept. I am looking for someone who can think strategically, provide technical guidance, and help define the best architecture for future growth. Long-term collaboration is possible for the right candidate. Please answer the following questions in your proposal: 1. Have you built a sports tracking or video analytics application before? 2. What technologies would you use for this project? 3. Do you believe athlete performance indicators can be estimated from smartphone video alone? 4. What would be the fastest way to build a proof of concept? 5. Please include examples of similar work.