Ai-driven Fitness Optimization: Customizing Workouts and Nutrition Through Machine Learning
Year: 2025
Type: article
Abstract: AI-Driven Fitness Optimization leverages machine learning algorithms to personalize and enhance fitness and nutrition plans, transforming how individuals approach physical wellness. By analyzing large datasets, including personal fitness metrics, health goals, preferences, and genetic factors, AI can design tailored workout routines and nutrition strategies that maximize effectiveness and efficiency. This approach adapts in real-time to the user’s progress, optimizing for factors such as recovery, performance, and muscle growth.
Authors: Tikore, Swapna V, Ali, Syed Musarraf, Borse, Kunal Ramesh
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: green
OpenAlex ID: W6930744286