The invention relates to the technical field of
artificial intelligence, and provides a multimodal interactive chess teaching method and
system based on a language
large model, and the method comprises the steps: obtaining a chess game image, recognizing a chess game, combining the chess level of a chess player, generating a chess game description through a large
language model, and controlling a voice interaction mechanism to feed back the chess game description; based on the chess game, the teaching difficulty and the chess player style, analyzing to obtain a recommended walking method of the chess learner, and controlling the chessboard lighting interaction mechanism and / or the voice interaction mechanism to feed back the recommended walking method so as to complete chess piece falling of the chess learner; judging whether chess playing is finished or not, and if not, returning to analyze the chess playing position of the
robot; and if the chess piece falling position is finished, giving a winner, updating the chess player style and the chess art level of the chess player according to the chess piece falling position of each step of chess, the chess game after the chess piece falling, the emotional state of the chess player and the winner, and adjusting the teaching difficulty of the chess player by utilizing a large
language model. And each chess learner can improve the chess art under the condition of being suitable for the
rhythm of himself / herself.