ObesityHealthCare (OHC) A Novel Mobile Health (mHealth) Application with Voice-Assisted AI for Personalized Obesity Management

Obesity has emerged as one of the most critical global health challenges of the 21st century. Despite the availability of numerous obesity-related mobile applications, many fail to offer personalized guidance, accessibility features, or real-time interaction. This paper proposes a novel mobile health (mHealth) application integrating a standard BMI calculator with an intelligent, voice-assisted AI module. The system enables users to ask natural language queries and receive accurate, WHO-based, context-aware health recommendations through speech output. Built using modern Android technologies (Kotlin, Jetpack Compose, STT, TTS), the application enhances accessibility for users with limited literacy, visual impairments, or motor restrictions. The presented prototype reflects a scalable, low-cost, and interactive solution that can significantly support personalized obesity management across diverse populations. This work highlights the importance of conversational AI in next-generation healthcare tools and demonstrates its potential for impactful global deployment.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-11-28
DOI
https://doi.org/10.5281/zenodo.17760613
Primary Topic
Mobile Health and mHealth Applications
Type
article
Field-Weighted Citation Impact
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article

ObesityHealthCare (OHC) A Novel Mobile Health (mHealth) Application with Voice-Assisted AI for Personalized Obesity Management

Zenodo (CERN European Organization for Nuclear Research)
Mobile Health and mHealth Applications
article

ObesityHealthCare (OHC) A Novel Mobile Health (mHealth) Application with Voice-Assisted AI for Personalized Obesity Management

article en

Abstract

Obesity has emerged as one of the most critical global health challenges of the 21st century. Despite the availability of numerous obesity-related mobile applications, many fail to offer personalized guidance, accessibility features, or real-time interaction. This paper proposes a novel mobile health (mHealth) application integrating a standard BMI calculator with an intelligent, voice-assisted AI module. The system enables users to ask natural language queries and receive accurate, WHO-based, context-aware health recommendations through speech output. Built using modern Android technologies (Kotlin, Jetpack Compose, STT, TTS), the application enhances accessibility for users with limited literacy, visual impairments, or motor restrictions. The presented prototype reflects a scalable, low-cost, and interactive solution that can significantly support personalized obesity management across diverse populations. This work highlights the importance of conversational AI in next-generation healthcare tools and demonstrates its potential for impactful global deployment.

Zenodo (CERN European Organization for Nuclear Research)
JRE Group of Institutions (IN)
Quality Education
Openalex Percentile: Top 28%
Mobile Health and mHealth Applications
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