Authors: Kuldeep Yadav, Deepak Singh Purviya, Ayush Rajpoot
Abstract: With the growing emphasis on personal health and fitness,technology-driven solutions have emerged to provide intelligent workout assistance. Our project, the AI-Powered Fitness Tracking Application, leverages Artificial Intelligence (AI), Machine Learning (ML), and Computer Vision to offer users a personalized and real- time fitness training experience. This application aims to analyze user movements, correct posture, track progress, and generate AI-based workout recommendations .Traditional fitness applications lack adaptability and personalized coaching, making it difficult for individuals to follow structured and effective fitness routines. Our AI-based fitness tracker solves this by using real-time movement analysis to provide instant feedback on exercises and posture correction. By integrating deep learning models and computer vision technologies, the application ensures a more engaging, accurate, and efficient workout experience.This research paper explores the development process, core functionalities, methodology, and future prospects of AI-powered fitness applications. The paper highlights the importance of ai in personal fitness, focusing on how technology can revolutionize the way people work out.
