Privacy Preserving Personalized Artificial Intelligence Based Healthcare Recommendation System

Authors

  • Sneha Adina Student - Bengaluru
  • Ajay Kumar Singh Professor, Department of Computer Science and Engineering, Jain Deemed-to-be University, Bengaluru, Karnataka, India

DOI:

https://doi.org/10.71143/kjsc9m19

Abstract

The Privacy Preserving AI and Personalized Healthcare Recommendation System is a hi-tech platform to produce personalized health and wellness recommendations utilizing the Block chain technology and the Gemini AI. The system enables the user to enter information about age, gender, height, weight, medical history, medication, allergies, and level of activity, dietary preference, and personal goals. Gemini AI uses these inputs to intelligently create a weekly meal plan, a 5-day workout plan to be done at home, and lifestyle recommendations tailored to individuals, with the tips to sleep, stay hydrated, and manage stress. To maintain confidentiality of data, the whole system uses the privacy- preserving mechanism, which is based on Blockchain, and provides the decentralization of the data storage, security, and integrity, avoiding unauthorized access and manipulation. Such integration guarantees that the data about personal health is safely handled, and it will provide a high level of accuracy in AI-based recommendations. In general, the system facilitates a safe, personalized, and intelligent healthcare ecosystem that fills the technology- personal wellness management gap.

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Published

02-04-2026

How to Cite

Adina, S., & Ajay Kumar Singh. (2026). Privacy Preserving Personalized Artificial Intelligence Based Healthcare Recommendation System. International Journal of Research and Review in Applied Science, Humanities, and Technology, 3(2), 78-84. https://doi.org/10.71143/kjsc9m19