I will develop table tennis ai analytics, player tracking and match analysis

United Kingdom

I speak English, Spanish

sports computer vision and AI analytics developer

I’m a sports computer vision and AI analytics developer who transforms raw match videos into intelligent data and performance insights. Using advanced machine learning models (YOLOv8, DeepSORT, OpenCV...
About this Gig

I will develop an AI-powered table tennis analytics solution that turns match footage into actionable performance insights.


WHAT I CAN BUILD:


  • Player and ball tracking
  • Stroke and shot detection
  • Rally and point analysis
  • Ball speed and trajectory estimation
  • Player movement and positioning
  • Match statistics and performance metrics


Using computer vision, player tracking, Python, OpenCV, YOLO, machine learning, deep learning, pose estimation, object detection, video analysis, sports analytics, table tennis prediction, match analysis, shot classification, trajectory analysis, real-time tracking, data visualization, AI analytics, and performance analysis, I can create tools for coaches, athletes, academies, and analysts.


The system can analyze forehand and backhand strokes, serves, returns, rally patterns, ball placement, movement, and tactics. I can build a computer vision model, automated match analysis system, or complete table tennis intelligence platform with scalable architecture.


Lets turn your match footage into data and smarter decisions.

APIs:

Microsoft Computer Vision AI

Amazon Rekognition

Expertise:

Classification

Clustering

Software development

Programming language:

Python

R

MATLAB

Colab

NoSQL

Tools:

Jupyter Notebook

OpenCV

OpenNN

TensorFlow

MLflow

Frameworks:

Scikit-learn

Google ML Kit

SimpleCV

Keras

Panda