Authors : Pavan G P; Meet Patel; Nitin C; Mihir Verma; Md Azhar Ansari

Volume/Issue : Volume 10 - 2025, Issue 1 - January

Google Scholar : https://tinyurl.com/3k68wy8h

Scribd : https://tinyurl.com/2vk5b2t4

DOI : https://doi.org/10.5281/zenodo.14854512

Abstract : The goal of this project is to develop a Fitness App that uses AI and machine learning to create personalized workout plans, monitor progress, and provide motivational support. The app is designed for all fitness levels, from beginners to advanced athletes. It will provide a wide range of exercises, from basic to advanced, and will adjust the workout plan as needed. It will also provide detailed tracking of progress, including heart rate, calories burned, and muscle fatigue. The app will also provide motivational support, including encouragement to stay on track and reminders to drink water and eat healthy. To ensure accuracy and personalization, the app will use AI and machine learning to analyze data and provide feedback and recommendations. The app will also feature a social component, allowing users to connect with friends and family and share their progress. In addition, the app will use AI and machine learning to track and analyze a user's progress and provide personalized feedback and recommendations. The app will also provide a variety of challenges and rewards to help users stay motivated and engaged. In the market, there already exist many fitness-based apps which provide various features but these features are extremely spread out and have no retention mechanism. Our app solves this problem by combining all the necessary aspects into one and provides user engagement through many functions

Keywords : Fitness, Web App, Google-Fit, MERN Stack.

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