Abstract: This research describes the creation and application of a cutting-edge fitness GPT (Generative Pre-trained Transformer) system that uses deep learning (DL) and artificial intelligence (AI) to provide individualized workout recommendations based on user profiles. The system has important features including strong user authentication, ongoing monitoring of fitness activities, and dynamic engines for suggestion, building on the insights gained from the conversation. The workout GPT system evaluates user data, including physical characteristics, health measurements, and activity levels, using complex AI algorithms to provide individualized workout regimens and dietary suggestions. Modern DL models are used to drive the system's evolution and adaptation in response to user feedback, guaranteeing ongoing relevance and optimization. This study highlights Fitness GPT's revolutionary potential to revolutionize the fitness sector by providing consumers with tailored, datadriven advice to successfully meet their wellness and health objectives.