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INTERNATIONAL JOURNAL OF CREATIVE RESEARCH THOUGHTS - IJCRT (IJCRT.ORG)

International Peer Reviewed & Refereed Journals, Open Access Journal

IJCRT Peer-Reviewed (Refereed) Journal as Per New UGC Rules.

ISSN Approved Journal No: 2320-2882 | Impact factor: 7.97 | ESTD Year: 2013

Call For Paper - Volume 14 | Issue 3 | Month- March 2026

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  Published Paper Details:

  Paper Title

Interactive Healthcare Advisor Model AI Chatbot

  Authors

  Dr SBrindha,  Ms K Sudha,  Mr M Pranav,  Mr.R.Gokulakannan,  Mr.N.Noufal

  Keywords

Chatbot, Healthcare, Artificial Intelligence, Appointment system, Virtual Assistant.

  Abstract


The Artificial Intelligence keeps growing, new technologies will keep coming in the market which will impact our day-to-day activities, and one such technology is Virtual Assistant Bots or simply Chatbot. Chatbot have evolved from being Menu/Button based, to Keywords based and now Contextual based. The most advanced among all of the above is contextual based because it uses Machine Learning and Artificial Intelligence techniques to store and process the training models which help the chatbot to give better and appropriate response when user asks domain specific questions to the bot. The idea is to create a medical chatbot that can diagnose the disease and provide basic details about the disease before consulting a doctor. This will help to reduce healthcare costs and improve accessibility to medical knowledge through medical chatbot. The chatbot are computer programs that use natural language to interact with users. Our project focuses on providing the users immediate and accurate prediction of the diseases based on their symptoms. Chatbot can play a major role in reshaping the healthcare industry by providing predictive diagnosis. The appointment system that allows patients or any user to easily book appointments online with doctors. It is a web-based application that overcomes the problems of managing and scheduling appointments as per the patients need. The task of manually assigning appointments to patients based on their availability can sometimes become quite tedious for the compiler or the doctor themselves. Thus, the project provides an efficient solution where the user can see different available booking slots, select the preferred date and time. Spaces already reserved will be marked in yellow and will not be available to anyone else for the duration specified. The system also allows users to cancel reservations at any time.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2306567

  Paper ID - 236781

  Page Number(s) - e976-e978

  Pubished in - Volume 11 | Issue 6 | June 2023

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Dr SBrindha,  Ms K Sudha,  Mr M Pranav,  Mr.R.Gokulakannan,  Mr.N.Noufal,   "Interactive Healthcare Advisor Model AI Chatbot", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.11, Issue 6, pp.e976-e978, June 2023, Available at :http://www.ijcrt.org/papers/IJCRT2306567.pdf

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Call For Paper March 2026
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ISSN and 7.97 Impact Factor Details


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ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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