A popular paper-and-pencil game for two players, tic tac toe involves strategically placing Xs and Os on a 3×3 grid. This paper provides a gesture-driven version of the classic mouse-click Tic-Tac-Toe game that uses computer vision for immersive gameplay. Enables natural interactions with robust real-time hand tracking and gesture classification. The placement of markers in a game is matched to gestures like pinching and swiping. The system combines graphical rendering, intelligent Minimax bots, and traditional game logic with gesture recognition. Comprehensive algorithms are offered, encompassing 3000 words on design, modules, and pipeline. With approximately 80% accuracy in gesture detection during gameplay, testing on 15 users confirmed precise tracking and categorization. In this research, an intuitive gesture interface for the classic game of Tic-Tac-Toe is used to demonstrate increased player involvement.