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ArticlePeer ReviewedOpen AccessPlagiarism Passed
Paper ID:10.55041/IJSREM12469

Chatbot for Healthcare

Stream/Area:

-

Subject:

-

Paper ID:

10.55041/IJSREM12469

Volume:

6 |

4 |

Apr 2022

Pages:

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
10.55041/IJSREM12469

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

DMU

Dr. MOHD USAMA

S

S.LAKSHMAIAH

GVR

G.VISHNU VARDHAN REDDY

BR

B.RAGHUNATH REDDY

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Abstract

In recent years, the need for digital healthcare assistance has grown because of population increase, limited medical resources, and language differences. Many current medical chatbots are only available in English and offer limited support. This paper introduces BERT-MED, an AI-driven healthcare assistance system that follows templates. It includes a multilingual medical chatbot, a smart hospital finder, and a drug safety module. The system uses transformer-based sentence embeddings to understand user medical questions and pull disease-related information from structured datasets. The chatbot allows both text and voice interactions and provides answers in multiple Indian languages. To help users understand better, the system offers educational YouTube videos about diseases. Furthermore, the smart hospital finder uses GPS-based location tracking, OpenStreetMap data, and crowd estimation to locate nearby healthcare facilities with risk indicators. The drug safety module gives information on medicine usage, dosage, warnings, and suggestions for similar pills. Experimental results show that this system provides accurate answers, quick information retrieval, and better usability than

KEYWORDS

based methods

Cite This Article

Dr. MOHD USAMA, S.LAKSHMAIAH, G.VISHNU VARDHAN REDDY, B.RAGHUNATH REDDY, "Chatbot for Healthcare," International Journal of Scientific Research in Engineering and Management, vol. 6, no. 4, Apr 2022. https://doi.org/10.55041/IJSREM12469

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Publication Date

12/20/2025

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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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