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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Chatbot System for Healthcare using Artificial Intelligence
Authors Name: Aishwarya Kedar , Jyoti Dahale , Khushboo Patel , Shivani Lahamage , Prof. S. G. Chordiya
Unique Id: IJSDR2009083
Published In: Volume 5 Issue 9, September-2020
Abstract: ChatBot can be described as software that can chat with people using artificial intelligence. These software are used to perform tasks such as quickly responding to users, informing them, helping to purchase products and providing better service to customers. In this paper, we present the general working principle and the basic concepts of artificial intelligence based chatbots and related concepts as well as their applications in various sectors such as telecommunication, banking, health, customer call centers and e-commerce. Additionally, the results of an example chabbot for donation service developed for telecommunication service provider are presented using the proposed architecture. We are using it for educational purpose to solve the quires of users. Chatbots are programs that mimic human conversation using Artificial Intelligence (AI). It is designed to be the ultimate virtual assistant, entertainment purpose, helping one to complete tasks ranging from answering questions, getting driving directions, turning up the thermostat in smart home, to playing one's favorite tunes etc. Chatbot has become more popular in business groups right now as they can reduce customer service cost and handles multiple users at a time. But yet to accomplish many tasks there is need to make chatbots as efficient as possible. in this system we provide the design of a chatbot, which provides an efficient and accurate answer for any query based on the dataset of FAQs using Artificial Intelligence Markup Language (AIML) and Latent Semantic Analysis (LSA). Template based and general questions like welcome/ greetings and general questions will be responded using AIML and other service based questions uses LSA to provide responses at any time that will serve user satisfaction.
Keywords: Chatbot, Text to Speech, AI
Cite Article: "Chatbot System for Healthcare using Artificial Intelligence", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 9, page no.495 - 497, September-2020, Available :http://www.ijsdr.org/papers/IJSDR2009083.pdf
Downloads: 000336258
Publication Details: Published Paper ID: IJSDR2009083
Registration ID:192555
Published In: Volume 5 Issue 9, September-2020
DOI (Digital Object Identifier):
Page No: 495 - 497
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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