In the current rapid world, individuals often lack sufficient energy and time to sustain a healthy lifestyle due to complications such as work, family and other obligations. But a healthy lifestyle plays a vital role in an individual’s life, making it prevalent in modern society and ensuring that wellness choices are intuitive and convenient in daily life. The primary issue with conventional workout systems is the absence of personalization for a wide range of users, who need to monitor and trace the progression of their workouts. This paper explores the integration of advanced technologies and AI among fitness considerations. The objective is to conceptualize the fitness tracking workouts and dietary expectations in order to provide personalized and more accurate workout guidance and to motivate the user experience based on individual user data. This study examines deep down into AI Fitness Coaching and Nutrition Plans, which is capable of segregating body type of an individual, generating a workout plan, providing the time span in which user’s intended goal can be accomplished, real-time exercise movement tracking system and provide a personal dietary. This research plays its part by estimating calories intake suitable for the individual’s workout using different machine learning models like Linear Regression, Ada Boost, XG Boost where Linear Regression showed better accuracy.