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Neural Rally

An interactive gesture-controlled pong game that replaces traditional keyboard controls with hand tracking technology. Players control their paddles using real-time hand movements detected through a webcam, creating an immersive gaming experience that bridges physical motion with digital gameplay. The system uses computer vision to track both left and right hands simultaneously, allowing for two-player matches where hand positions translate directly to paddle movements on screen. Features include real-time score tracking, collision detection, game restart functionality, and a split-screen view showing both the gameplay and the raw webcam feed. This project demonstrates practical applications of hand tracking and gesture recognition in interactive entertainment.

Led by: Huzefa Pishori
Department: Tech

Technologies Used

Open CVCVZoneMediaPipeNumPy