Paper Title

Artificial Intelligent based Medical Chatbot

Authors

Heshiya Gayathri S , Jaya Priya T , Prisha C , Devadarshini S , Prof. Therasa M

Keywords

Artificial intelligence, Natural language processing, Support Vector Machine (SVM), RASA frameworkArtificial intelligence, Natural language processing, Support Vector Machine (SVM), RASA framework

Abstract

When people fall ill they usually get appointments with doctors, who diagnose the disease and give vital treatments. People with chronic diseases also have the need to visit their doctors at regular intervals. Sometimes people may find it difficult to visit a hospital or consult a doctor, and situations like the pandemic are inevitable. This study intends to enhance the existing medical chatbot and compare the current algorithms used in a basic chatbot. In order to build a chatbot, this paper contemplates the use of the RASA framework. Certain questions regarding the current situation of illness are asked to the user. The User’s symptoms are taken as input in the form of either text or voice and processed by Google API. The bot will perform specific algorithms and predict the most suitable treatment. At serious cases the bot will recommend doctor left with patient’s choice of treatment. This study will help other budding developers to get a better idea of this framework.

How To Cite

"Artificial Intelligent based Medical Chatbot", TIJER - TIJER - INTERNATIONAL RESEARCH JOURNAL (www.TIJER.org), ISSN:2349-9249, Vol.11, Issue 2, page no.162-167, February-2024, Available :https://tijer.org/TIJER/papers/TIJERB001025.pdf

Issue

Volume 11 Issue 2, February-2024

Pages : 162-167

Other Publication Details

Paper Reg. ID: TIJER_151006

Published Paper Id: TIJERB001025

Downloads: 000270

Research Area: Science and Technology

Country: TIRUVALLUR, TAMILNADU, India

Published Paper PDF: https://tijer.org/TIJER/papers/TIJERB001025

Published Paper URL: https://tijer.org/TIJER/viewpaperforall?paper=TIJERB001025

About Publisher

ISSN: 2349-9249 | IMPACT FACTOR: 8.57 Calculated By Google Scholar | ESTD YEAR: 2014

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.57 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Publisher: TIJER (IJ Publication) Janvi Wave

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