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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM55076
Volume:
9 |
12 |
Dec 2025
Pages:
Publication Frequency:
Monthly (12 issues per year)
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.
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
Publication Date
10/11/2025
Peer Review Type
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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