An Overview of an AI-Powered Wellness Application: The Disha App

Authors

Keywords:

AI Health and Wellness Applications | e-health, mHealth | Digital Health Coaching | Artificial Intelligence AI, Wellness Technology

Abstract

Purpose: This paper presents a descriptive and exploratory review of the Disha AI-powered wellness application, placing it in the broader context of AI-enabled wellness technologies. The study addresses the limited academic focus on the AI-powered wellness mobile apps.

Design/Methodology/Approach: Using a feature-based descriptive approach and a literature review, the study assesses the main functions, personalization techniques, and user support features of the Disha application. The paper also discusses the potential benefits, limitations, and ethical issues associated with these AI-driven wellness platforms.

Findings: The findings show that the Disha app acts as a digital wellness coach by offering tailored lifestyle advice, AI-powered interactions, and comprehensive wellness support. Although the app adheres to important AI-enabled mHealth principles like personalization and flexibility, issues concerning transparency, clinical validation, and data privacy are still present.

Originality/Value: Most of the commercially available AI wellness apps have not been academically evaluated in a systematic manner. This research offers an initial academic perspective on a commercially developed wellness app, contributing to the ongoing discussion about AI-based digital health tools and highlighting future research directions.

Paper Type: View Point

Author Biographies

  • Shalu, Indira Gandhi National Open University

    Research Scholar, SOMS

  • Anupriya Pandey, Indira Gandhi National Open University

    Professor, SOMS

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Published

2026-04-02