I will develop MMA,boxing ai pose tracking punch detection system in opencv yolo python

Hello,

We build a real time Python system that detects fighters, tracks poses, and identifies punch events (jab, cross, hook, uppercut) using YOLO for detection, pose estimation for keypoints, and OpenCV for processing and visualization

You'll get

• Real-time fighter detection using YOLO models
• Pose estimation for human body tracking (MediaPipe or OpenPose) to extract keypoints
• Multi-object tracking with consistent IDs (DeepSORT / ByteTrack)
• Punch detection (jab/cross/hook/uppercut) using keypoint dynamics + ML or rule-based classifiers
• Strike counting and accuracy analysis
• Metrics: punch count, speed/velocity estimate, impact timestamps, combos detection
• Annotated output video with overlays (skeletons, labels, trajectories)
• Timestamps, fighter ID, punch type, confidence
• Strike counting and accuracy analysis
• Motion tracking of arms, legs, and torso
• Fight movement analytics and performance metrics
• Multi-person tracking in sparring or matches
• Video analysis for recorded fights or live streams
• Frame-by-frame action recognition
• Custom alerts for punches or significant movements 

Contact me now to get started!