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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

HEALTH CARE CHAT BOT - AI-POWERED HEALTHCARE CHATBOT FOR PERSONALIZED MEDICAL SUPPORT AND PROACTIVEHEALTH MANAGEMENT

  Authors

  Umamaheswari S,  SOUNDARIYA LAKSHMI V,  PRIYADHARSHINI P G,  RAGAVI A

  Keywords

AI in Healthcare, Healthcare Chatbot, Natural Language Processing (NLP),Deep Learning in Medicine, Real-time Medical Support, Health Monitoring, Telemedicine Consultation, Virtual Healthcare Assistant, Proactive Health Management, Patient Engagement, Chronic Condition Management, Preventive Healthcare, Insurance Guidance, Vital Sign Monitoring.

  Abstract


This project presents an AI-powered healthcare chatbot designed to deliver personalized, real-time medical support and proactive health management. Utilizing advanced natural language processing (NLP) and deep learning algorithms, the chatbot can interpret and respond to user inputs effectively, addressing a range of healthcare needs, including health monitoring, routine check-ups, telemedicine consultations, and insurance guidance. By acting as a virtual healthcare assistant, this system aims to bridge the gap between users and essential health services, enhancing accessibility to medical information and resources. The chatbot's core capabilities include continuous health monitoring, enabling users to track vital signs, symptoms, and lifestyle habits. Through routine assessments, the system evaluates general well-being, flags potential health issues, and provides recommendations for appropriate actions. For telemedicine, it supports virtual consultations with healthcare professionals, ensuring timely access to medical advice. Additionally, the chatbot simplifies complex insurance processes, offering clear, step-by-step guidance on coverage, claims, and reimbursements. Through machine learning and continuous user interaction, the AI model enhances its responsiveness and accuracy over time, delivering a comprehensive and intuitive experience. Whether assisting with chronic condition management or preventive care, the chatbot fosters a proactive approach to health, empowering individuals to manage their well-being independently. This project aims to democratize healthcare access, making high-quality medical support available to all users, regardless of their location or level of medical expertise.

  IJCRT's Publication Details

  Unique Identification Number - IJCRT2412070

  Paper ID - 271935

  Page Number(s) - a588-a592

  Pubished in - Volume 12 | Issue 12 | December 2024

  DOI (Digital Object Identifier) -   

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

  E-ISSN Number - 2320-2882

  Cite this article

  Umamaheswari S,  SOUNDARIYA LAKSHMI V,  PRIYADHARSHINI P G,  RAGAVI A,   "HEALTH CARE CHAT BOT - AI-POWERED HEALTHCARE CHATBOT FOR PERSONALIZED MEDICAL SUPPORT AND PROACTIVEHEALTH MANAGEMENT", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 12, pp.a588-a592, December 2024, Available at :http://www.ijcrt.org/papers/IJCRT2412070.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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