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AI-Driven Routine Optimization: Building a Fitness App Inspired by Role Models
Author Name : Miss. Trupti Wavhal, Dr. Geetika Narang, Prof. Rupali Maske, Prof. Barkha Shahaji, Prof. Rutika Shah
ABSTRACT This paper explores the integration of artificial intelligence (AI) and machine learning (ML) in developing a personalized fitness application that adjusts user routines based on the habits of their fitness role models. By analyzing existing literature on fitness tracking, nutrition management, and mental health applications, this paper highlights the potential of AI to enhance user engagement and overall well-being. The proposed application aims to provide a comprehensive solution that addresses physical fitness, nutritional needs, and mental wellness through tailored recommendations and adaptive feedback mechanisms.