Tennis Skills Enhancement App Wins USC Approval

Kevin developed an application that combines mobile computing and machine learning to help amateur tennis enthusiasts analyze their performance and provide suggestions to improve their tennis skills.

Student Testimonial

The application features a backend service written in Python and a cross-platform frontend interface created with Flutter, allowing tennis enthusiasts to use it on any device. Its core tools include Mediapipe and OpenCV, which accurately track and compare the motion trajectories of players.

More About This Project + Accolades

Admitted to University of Southern California