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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:IJSREM40923

Medical Emergency Handling

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM40923

Volume:

9 |

1 |

Jan 2025

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM40923

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

DK

Dr.Jayanthi Kamalasekaran

ES

Elluru Sowmya

R

RajeshwariAngadi

LK

Lakshmi Keerthana

VG

Vyshnavi G.N

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Abstract

An advanced Medical Emergency Handling application receives significant improvements through Artificial Intelligence (AI) integration alongside coupling it with contemporary geolocation technology. Emergency support capabilities which included near-hospital finding and first aid instruction and helpline access have evolved into more user-friendly and intelligent and faster functions. The main improvement of this system comes from implementing an AI-based chatbot using Natural Language Processing (NLP) to respond to user demands in real-time with contextualized information. The chatbot system provides emergency operational guidance and adaptable support and makes rapid decisions possible in critical emergency situations. Users now have access to ambulances on the map through a Google Maps API integration along with the ability to start emergency calls directly inside the app. Additionally the application includes a WebView of Flipkart Health+ to offer users single-ecosystem access to health products. The application user interface now features a redesigned interface based on Material Design guidelines to enhance faster navigation to essential app features. The applied updates bring better user experience together with shorter emergency response durations while delivering improved final results. This project demonstrates AI’s capacity to team up with technology for providing instant real-time help in critical circumstances.

KEYWORDS

Artificial Intelligence (AI) Medical Emergency Response Chatbot Assistance Ambulance Locator API Geolocation Services Emergency Healthcare Application.

Cite This Article

Dr.Jayanthi Kamalasekaran, Elluru Sowmya, RajeshwariAngadi, Lakshmi Keerthana, Vyshnavi G.N, "Medical Emergency Handling," International Journal of Scientific Research in Engineering and Management, vol. 9, no. 1, Jan 2025. https://doi.org/10.55041/IJSREM40923

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Publication Date

5/14/2025

Peer Review Type

Double-Blind Peer Review

Review Rounds: 2

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0

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5

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5

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Conflict of Interest

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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