AI Personalized Fitness And Nutrition Coach Using Ml

Minhaj Begum; Thodishetty Akshitha,  Alladi Charitha, Jammuladinne Mokshitha Rohini

doi:10.62647/

Authors

Minhaj Begum Assistant Professor, Department of Information Technology, Bhoj Reddy Engineering College for Women, India Author
Thodishetty Akshitha, Alladi Charitha, Jammuladinne Mokshitha Rohini B.Tech Student, Department of Information Technology, Bhoj Reddy Engineering College for Women, India. Author

DOI:

https://doi.org/10.62647/

Keywords:

AI fitness coach, personalized nutrition, customized workout plans, machine learning in health, computer vision fitness tracking, real-time progress monitoring, wearable device integration, health data analytics, dietary recommendations, fitness app, virtual health assistant, behavioral change support, scalable health solution, user-centered health technology, evidence-based coaching, lifestyle adaptation, health and wellness AI, intelligent diet planning, fitness level adaptation, and digital health engagement.

Abstract

In an era where health and wellness are increasingly prioritized, the demand for personalized fitness and nutrition guidance continues to grow. This project presents the development of an AI-powered personalized fitness and nutrition coach designed to deliver customized workout plans, dietary recommendations, and real-time progress tracking tailored to individual goals, preferences, and physiological parameters. Leveraging machine learning algorithms, computer vision, and data analytics, the system dynamically adapts to users’ evolving fitness levels, dietary responses, and lifestyle patterns. The AI coach incorporates data from wearable devices, user input, and external health databases to refine its recommendations continuously. Through intuitive user interfaces, virtual assistant capabilities, and evidence-based methodologies, this solution aims to bridge the gap between expert human coaching and scalable, accessible health technology. The proposed platform not only empowers users to make informed health decisions but also supports long-term engagement and behavioral change, contributing to improved overall well-being.