An AI powered application to improve your Table Tennis game
A project that analyzes a person's table tennis skills by using Computer Vision and use LLMs to give feedback based on statistics in the person's game
Authors
Srikar Yalam Alan Zhou Daniel Trinh Priyadarsi Mishra
Purpose
This project as designed to help others improve their game in Table Tennis and we use Computer Vision to track statistics of the player and their opponent and then we use an LLM to give them advice based on the statistics we observed. We utilized Yolov8 to do object detection and we made our own custom dataset using Roboflow. Furthermore, we use DepthAnything to get depth information to create point clouds for the table tennis scene. Furthermore, we utilize Llama LLM to give advice to the users.
Disclaimer
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Built With
- [React JS] - Frontend Framework
- [Hugging Face] - Summary Transcription
- [Pytorch] - Machine Learning Models
- [YoloV8] - Object Detection

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