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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM55076

Arogyasathi – AI-Based Health Advisory & Monitoring System

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM55076

Volume:

9 |

12 |

Dec 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM55076

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

VVP

Vaishnavi Vinod Prajapati

DKCJ

Dr. Kalyan C. Jagdale

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Abstract

People often turn to their smartphones when a health problem arises, but the information they find is usually confusing, unreliable, or unavailable in their own language. During emergencies such as chest pain, bleeding, or breathing problems, the first few minutes are vital, yet trustworthy guidance is rarely accessible in a calm and simplified form. This paper introduces AI Arogyasathi, a mobile application that functions as a conversational first-aid assistant rather than a substitute for medical professionals. Using the Gemini API, it provides short, clear, and step-by-step suggestions, identifies serious situations, and urges users to contact nearby healthcare services. Designed for everyday users, the app supports multiple Indian languages and avoids medical jargon, making health guidance more inclusive. The study discusses its design process, content validation, response safety measures, and initial user testing. Early findings suggest that Arogyasathi helps reduce panic, improve comprehension of health situations, and increase user confidence before professional help becomes available.

KEYWORDS

AI in Healthcare Health Advisory System Symptom Checker Preventive Healthcare NLP Machine Learning Multilingual Support Arogyasathi

Cite This Article

Vaishnavi Vinod Prajapati, Dr. Kalyan C. Jagdale, "Arogyasathi – AI-Based Health Advisory & Monitoring System," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 12, Dec 2025. https://doi.org/10.55041/IJSREM55076

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Publication Date

10/11/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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2

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5

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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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