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This computer vision project analyzes tennis match videos using cutting-edge techniques. It employs YOLOv8 for player detection, finetuned YOLO for ball tracking, and ResNet50 for extracting court keypoints. Additionally, it calculates player and ball speeds and generates a mini court reflecting player positions.
Open-source Tennis Data Analytics & Interactive Visualizations. Featuring ATP/WTA match statistics, player performance trends, and exploratory data analysis using Python, D3.js & echarts
Python/SQLITE3 based project which scrapes data from ATP Rankings website and uses Matplotlib for data visualization. Also updated to include FastAPI and MCP server deployment on render
A beautiful Flutter application that provides real-time tennis scores, player profiles, match statistics, and ATP/WTA rankings. Built for tennis enthusiasts who want to stay updated with the latest matches and player information.