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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

Scholarly open access journals, Peer-reviewed, and Refereed Journals, Impact factor 7.97 (Calculate by google scholar and Semantic Scholar | AI-Powered Research Tool) , Multidisciplinary, Monthly, Indexing in all major database & Metadata, Citation Generator, Digital Object Identifier(CrossRef DOI)

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  Published Paper Details:

  Paper Title

AI-Driven Healthcare Symptom Diagnosis Chatbot for Accessible and Proactive Medical Assistance

  Authors

  Kandregula Jaswanth Sai,  Polisetty M V V Mohan,  Pentakota Baby Parna Sri,  Koribilli Manohar,  Dalibani Padma

  Keywords

Artificial Intelligence (AI), Healthcare Professionals, Medical Records, Smart AI Technology, Expert Database.

  Abstract


The fast-growing population needs more healthcare professionals than rural and government hospitals can provide for quality care. Our healthcare chatbot powered by AI helps patients receive expert medical support by connecting them through easy-to-use intelligent responses. The service helps people understand their symptoms, predict what might be wrong with them, and get safety tips, so they can make better choices for their health. The system operates through three key functionalities: There are three main tasks this system does: (1) Getting health symptoms from users and matching them to known conditions in its expert database; (2) Using powerful AI that has learned from medical records to predict likely conditions and help users understand them; and (3) Giving users safety advice and letting them know when they must visit a healthcare professional for more help. If the chatbot needs additional information to answer a question it fetches that data from search engines to deliver correct results. Through smart AI technology the system supports doctors with precise symptom interpretation while reducing mistakes and expands patient access to quality medical guidance to better healthcare results.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2501667

  Paper ID - 276235

  Page Number(s) - f830-f839

  Pubished in - Volume 13 | Issue 1 | January 2025

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Kandregula Jaswanth Sai,  Polisetty M V V Mohan,  Pentakota Baby Parna Sri,  Koribilli Manohar,  Dalibani Padma,   "AI-Driven Healthcare Symptom Diagnosis Chatbot for Accessible and Proactive Medical Assistance", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.13, Issue 1, pp.f830-f839, January 2025, Available at :http://www.ijcrt.org/papers/IJCRT2501667.pdf

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Call For Paper March 2026
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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
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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