Abstract: The increasing prevalence of lifestyle-related health issues has underscored the necessity for individuals to take proactive measures toward their fitness and well-being. This project presents the development of a Health Fitness App designed to assist users in monitoring and improving their health through a comprehensive approach to fitness management. The app integrates various features, including workout tracking, nutrition logging, personalized fitness plans, and progress analytics. Utilizing modern technologies such as cloud computing and data analytics, the app provides users with a user-friendly interface that allows for seamless interaction and real-time data synchronization across devices. Users can set fitness goals, log their daily activities, and track their dietary intake, thereby gaining insights into their overall health and fitness levels. The app employs advanced algorithms to recommend personalized workout routines and meal plans tailored to individual user profiles, including age, weight, fitness level, and dietary preferences.
Keywords: Health Fitness App, Health issues, workout Tracking, Progress Analytics, AI based workout recommendations, Fitness goal, Smart habit tracking
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DOI:
10.17148/IJARCCE.2025.14254
