LiveFit: An AI-Driven Personalized Nutrition, Meal Planning, and Subscription Based Health Ecosystem

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Authors: Aryan Walia, Subham Prasad Achary, Kushagra Pankaj, Dr. Roshan Lal
Cited by: 0

Abstract

The fast prevalence of lifestyle illnesses, including obesity, diabetes, and heart diseases, has added pressure on the need to have smart and scalable digital health ecosystems. This paper introduces LiveFit, an AI driven-personalized nutrition and subscription-based health management system, which combines the real-time macronutrient monitoring, AI-based dietary suggestions, cloud-based ordering of meals and mobile application implementation, across different platforms. The proposed solution uses a layered full stack architecture which includes a web dashboard, a microservices backend written in Node.js and MongoDB Atlas cloud and a React Native (Expo Router) mobile prototype. LiveFit is built on JWT-supplied authentication, API services on a cloud platform, contextual recommendation logic, which runs on the AI and monetization based on subscriptions coupled with a healthy meal commerce platform. LiveFit (derived in contrast to the standard calorie tracking systems) proactively compiles the daily nutrition consumption and provides the contextual AI feedback, depending on the deficiencies of macronutrients. As part of experimental validation, API response time on average (

Fields of Study & Subjects

Innovation in Digital Healthcare Systems Mobile Health and mHealth Applications Mobile and Web Applications

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
3 March 2026
Language
EN