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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM53003

AI Based Smart Health Monitor

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM53003

Volume:

9 |

10 |

Oct 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PP

POONKODI P

2P

2ABINAYA P

3D

3GOBIHA D

4P

4PRAJITH P

5VA

5SRI VISHWA A

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Abstract

The AI Health Coach Smart Lifecycle & Diabetes Control System represents a powerful leap forward in patient- centered diabetes care and preventive health management. Diabetes Management, AI Health Coach, Lifestyle Modification, Glucose Tracking, Personalized Medicine, Digital Health Records, Telemedicine Integration, Health Analytics, Preventive Care, Electronic Health Systems. Fragmented health infrastructure, inconsistent data practices, and language barriers exacerbate these challenges, leaving many patients without timely support. At its core, this system addresses the persistent issues of late diagnosis, limited rural access, language barriers, and fragmented data sharing by consolidating multi service modules into a single, smart platform. The system’s features include AI driven symptom analysis, personalized lifestyle coaching, real-time telemedicine support, and secure digital health records all delivered through a responsive, multilingual web interface. Notably, it leverages predictive analytics to identify emerging health risks and sends proactive alerts, empowering both patients and clinicians with early interventions. By automating routine tasks and enabling remote consultations, it lowers operational costs and expands quality care to remote areas that otherwise go underserved. Data privacy is upheld through encrypted storage and role-based access. Unique to this solution is a reusable, digital diabetes profile that facilitates continuity of care, allowing medical professionals to make better-informed, data-rich decisions. The holistic deployment of AI and automated communication ensures a seamless user journey, reduced delays, and comprehensive coverage from first assessment through ongoing lifestyle modification. Ultimately, this platform demonstrates how scalable, cloud-based healthcare ecosystems can bridge inequality, improve patient outcomes, and build the foundation for next-generation digital health delivery.

KEYWORDS

Diabetes Management AI Health Coach Lifestyle Modification Glucose Tracking Personalized Medicine Digital Health Records Telemedicine Integration Health Analytics Preventive Care Electronic Health Systems.

Cite This Article

POONKODI P, 2ABINAYA P, 3GOBIHA D, 4PRAJITH P, 5SRI VISHWA A, "AI Based Smart Health Monitor," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 10, Oct 2025.

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Publication Date

10/13/2025

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Double-Blind Peer Review

Review Rounds: 2

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The authors declare no conflict of interest related to this research work.

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No funding information available for this research.

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