Artificial Intelligence–Enabled Adaptive System For Individualised Diet Planning And Fitness Optimization Using Real-Time Data

Ravikumar Tata¹, Tata Lalitha Renuka²

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ABSTRACT

As personalized medicine gains prominence, artificial intelligence (AI) is also stepping into the limelight in people following healthier dietary habits and lifestyles.[8] This article reports on an intelligent AI-powered system that offers customized diet and fitness recommendations to the user based on their medical history and individual health goals. In accordance with global standards such as GDPR, WHO diet guideline recommendation, ISO 21001, ISO 9241, and IEEE 802, the system is secure, effective, and user-friendly. There are five pillars to the core of architecture. Federated learning anonymizes users by processing locally. Dynamic meal suggestions aligned with nutritional needs and liking are facilitated through reinforcement of learning algorithms. Personalized, targeted workout regimens are developed over AI and dynamic programming.[5] A minimal, yet elegant dashboard is given for monitoring progress real-time for motivational purposes. Last but not least, the system can be integrated with wearable technologies such as Apple Watch and Fitbit for end-to-end health monitoring. With the integration of cutting-edge AI technologies with privacy data awareness and user-centered design, the platform allows users to control their diet and exercise in a smart, safe, and personalized manner.

Keywords: Terms—Artificial Intelligence, Personalized Nutrition, Fitness, Machine Learning, Health Monitoring

How to cite this article: Tata R, Tata LR, Artificial Intelligence–Enabled Adaptive System for Individualised Diet Planning and Fitness Optimization Using Real-Time Data.Int J Drug Deliv Technol. 2026;16 (13s): 1-7; DOI: 10.25258/ijddt.16.13s.1

Source of support: None

Conflict of interest: None