CourtMetrics: Unlocking Tennis Insights with Machine Learning

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2024-12

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Abstract

CourtMetrics is an advanced tennis analytics platform designed to enhance player performance and game analysis. It leverages cutting-edge machine learning models and Azure OpenAI services to deliver detailed player insights, match statistics, and video analytics. The platform enables users to upload or analyze match videos, compare player statistics, and visualize game trends through an intuitive dashboard. From coaches to analysts, CourtMetrics aims to revolutionize how tennis performance is evaluated by combining AI, data visualization, and user-friendly features.

Description

CourtMetrics is an advanced tennis analytics platform designed to enhance player performance and game analysis. It leverages cutting-edge machine learning models and Azure OpenAI services to deliver detailed player insights, match statistics, and video analytics. The platform enables users to upload or analyze match videos, compare player statistics, and visualize game trends through an intuitive dashboard. From coaches to analysts, CourtMetrics aims to revolutionize how tennis performance is evaluated by combining AI, data visualization, and user-friendly features. Product Functionalities Below is a walkthrough of the product’s core functionalities with accompanying screenshots: 1. Home Page ● Form for Analysis: Users can input player names, upload videos, or provide YouTube links for analysis. ● Output Section: Displays real-time video analysis results, including metrics and visualizations. 2. Video Download/Upload ● YouTube Video Download: Paste a YouTube link to download match videos for analysis. ● Local Video Upload: Upload match videos directly from your device. 3. Player Comparison ● Head-to-Head Analysis: Compare players based on metrics such as win percentages, rankings, and historical trends. ● Visualized Insights: Graphs and charts summarize comparative performance. 4. Video Metrics and Court Tracking ● Key Features: Track player movements, ball trajectory, and action detection using ML models. ● Mini-Court Visualization: Overlay of key points for enhanced clarity. 5. Ranking System ● Displays ATP player rankings with details such as points, nationalities, and match stats.

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https://hdl.handle.net/10919/124326

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CS5934: Capstone Project