I will develop 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 tennis analytics solution that transforms match footage and sports data into clear insights. Using computer vision and machine learning, I can analyze players, ball movement, shots, positioning, rallies, and match performance.


The system can include player tracking, ball tracking, shot detection, court mapping, rally analysis, speed estimation, movement analysis, shot classification, trajectory analysis, and performance metrics. I can also integrate tennis data and predictive features for coaches, athletes, academies, analysts, and sports teams.


My workflow can combine Python, OpenCV, YOLO, deep learning, pose estimation, object detection, video analysis, sports analytics, tennis prediction, match analysis, real-time tracking, data visualization, AI analytics, performance analysis, and sports data to create accurate solutions.


Whether you need a computer vision model, automated match analysis tool, player performance system, or complete tennis intelligence platform,


I will tailor the solution to your requirements with clean architecture and reliable detection.

APIs:

Microsoft Computer Vision AI

Amazon Rekognition

Expertise:

Image processing

Churn

Clustering

Sentimental analysis

Programming language:

Python

MATLAB

Colab

Java

Amazon SageMaker

Tools:

Jupyter Notebook

OpenCV

OpenNN

MLflow

Amazon SageMaker

Frameworks:

Scikit-learn

DeepPy

SimpleCV

Keras

Panda