Chess is a mind-controlled strategy game that we play on a checkerboard. In recent years computer games with automated systems have become a common form of entertainment. Moreover, the emergence of artificial intelligence systems has evolved traditional games in new and profound ways. The normal chess gameplay is achieved by sitting next to each other and making moves on the pieces. But a different situation arises when there's no one sitting next to play the game. This project deals with an autonomous chess-playing system, capable of recognizing all possible chess board states, and generating chess piece moves on checkboard in real-time. This proposed system can help players to play chess with AI in checkerboard without letting the person feel the absence of an opponent. In this system, the Heuristic approach evaluates the chess position. The Minimax algorithm determines the optimal move and Alpha-Beta pruning minimizes the number of steps. Arduino and Raspberry Pi powers this system. Similarly, stepper motor drives the chess pieces in X and Y direction. The implementation, methodology, and feasibility analysis are discussed in this report.