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International Journal of Creative and Open Research in Engineering and Management

A Peer-Reviewed, Open-Access International Journal Supporting Multidisciplinary Research, Digital Publishing Standards, DOI Registration, and Academic Indexing.
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ISSN: 3108-1754 (Online)
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ISO Certification: 9001:2015
Publication Fee: 599/- INR
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License: CC BY 4.0
Peer Review: Double Blind
Volume 02, Issue 05

Published on: May 2026

AI-DRIVEN DIGITAL HEALTHCARE AND WELLNESS SYSTEM WITH AYURVEDA

Vedansh Meena

Sheetal Mandloi

Department of Computer Science and Engineering,
Indore Institute of Science and Technology, Indore, Madhya Pradesh, India

Article Status

Plagiarism Passed Peer Reviewed Open Access

Available Documents

Abstract

Artificial Intelligence (AI) is rapidly transforming modern healthcare by enabling personalized, predictive, and data-driven medical solutions. At the same time, Ayurveda, one of the world’s oldest holistic healthcare systems, offers individualized wellness approaches based on a person’s Prakriti (body constitution) and Dosha balance. This research proposes an AI-driven digital healthcare and wellness platform that integrates modern machine learning techniques with Ayurvedic principles to provide personalized and preventive healthcare recommendations.

The proposed system combines data collected from wearable sensors, smart health devices, electronic health records, laboratory reports, and patient lifestyle information to create a comprehensive health profile for each individual. Machine Learning (ML) and Deep Learning (DL) models are used to analyze multimodal health data, identify patterns, predict health risks, and recommend customized wellness plans. The platform also incorporates an Ayurvedic knowledge base containing Dosha and Prakriti-related rules to support personalized dietary, lifestyle, and behavioral guidance.

To ensure privacy and secure data management, the architecture adopts a federated learning approach in which sensitive patient data remains on local devices while only model updates are shared. Explainable AI (XAI) techniques such as SHAP and LIME are integrated to improve transparency and help users and healthcare professionals understand the reasoning behind AI-generated recommendations. The proposed framework further supports interoperability using healthcare standards such as FHIR and complies with major healthcare regulations including HIPAA, GDPR, and India’s National Digital Health Mission (NDHM).

This study outlines the overall system architecture, AI methodologies, data requirements, implementation strategy, and evaluation framework for the proposed platform. In addition to technical performance metrics such as prediction accuracy and explainability, the system will also be evaluated using clinical outcomes, user engagement, and wellness improvement indicators. The research highlights the potential of combining traditional Ayurvedic knowledge with modern AI technologies to build a secure, scalable, and patient-centered digital healthcare ecosystem.

How to Cite this Paper

Meena, V. (2026). AI-Driven Digital Healthcare and Wellness System with Ayurveda. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(05). https://doi.org/10.55041/ijcope.v2i5.801

Meena, Vedansh. "AI-Driven Digital Healthcare and Wellness System with Ayurveda." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 05, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i5.801.

Meena, Vedansh. "AI-Driven Digital Healthcare and Wellness System with Ayurveda." International Journal of Creative and Open Research in Engineering and Management 02, no. 05 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i5.801.

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References

[1] NITI Aayog, “National Digital Health Mission Strategy Overview,” Government of India, 2023.

[2] World Health Organization, Ethics and Governance of Artificial Intelligence for Health, Geneva, Switzerland, 2021.

[3] World Health Organization, “Digital Health,” WHO Health Topics, 2024.

[4] S. Sharma and R. Gupta, “Capitalization of Digital Healthcare: The Cornerstone of Emerging Medical Practices,” ScienceDirect Journal, vol. 12, no. 4, pp. 120–135, 2024.

[5] Government of India, “Ayushman Bharat Digital Mission,” Ministry of Health and Family Welfare, 2023.

[6] A. Kumar and P. Verma, “Explainable Artificial Intelligence in Healthcare Systems,” International Journal of AI Research, vol. 8, no. 2, pp. 55–68, 2023.

[7] HL7 International, “FHIR Healthcare Interoperability Standards,” 2023.

[8] R. Prasher et al., “An Ayurgenomics Approach: Prakriti-Based Drug Discovery and Development for Personalized Care,” Frontiers in Pharmacology, vol. 13, 2022.

[9] National Center for Complementary and Integrative Health, “Ayurvedic Medicine: In Depth,” NIH, 2023.

[10] P. Joshi and M. Sharma, “AI-Based Personalized Wellness Systems Using Ayurveda,” Journal of Digital Healthcare, vol. 5, no. 1, pp. 45–59, 2024.

Ethical Compliance & Review Process

  • All submissions are screened under plagiarism detection.
  • Review follows editorial policy.
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  • Peer Review Type: Double-Blind Peer Review
  • Published on: May 28 2026
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