Zeniva: Holistic AI Wellness System for Personalized Family-Centric Healthcare

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Suraj Borkute
Pratham Wankhade
Pranav Ladole
Jayesh Fating
Anup Gade
Abhay Rewatkar

Abstract

Zeniva is a health care platform which we have designed to bring together bio metrics, emotional intelligence, predictive analytics, and total wellbeing in to one place to present very personal and preventive care. We have put in place a continuous health tracking of physical and behavioral signs which include heart rate, blood pressure, oxygen saturation, glucose levels, and stress markers via IoT sensors and machine learning models. Also, we use advanced sentiment analysis which looks at facial expression, voice tone and user action to identify early physical and mental health issues which in turn triggers in time interventions like guided meditation and mindfulness support.


Integrating Ayurvedic principles, Zeniva gives out dosha based diet, herb and lifestyle recommendations which in turn promote natural healing and mind body balance. We have a family centered design which includes multi user profiles, remote health monitoring, AI supported telemedicine, automated reports, doctor recommendations and emergency alerts for home and clinical settings. To protect sensitive info while at the same time enabling collaborative learning Zeniva uses encryption, blockchain for integrity and federated learning which in turn guarantees secure, accessible and trusted health care innovation.

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How to Cite
Borkute, S., Wankhade , P., Ladole, P., Fating, J., Gade, A., & Rewatkar, A. (2025). Zeniva: Holistic AI Wellness System for Personalized Family-Centric Healthcare. International Journal on Advanced Computer Engineering and Communication Technology, 14(3s), 202–212. Retrieved from https://journals.mriindia.com/index.php/ijacect/article/view/1622
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