Healthcare Chatbot System

Authors

  • Mr. Mohammed Tajuddin Associate Professor, Dept. of CSE-AIML, Lords Institute Of Engineering And Technology, Hyderabad, India. Author
  • Mr. Mohammed Omar Khan, Mr. MD Azeem, Mr. Mirza Mohammed Baig B.E Student Dept. of AIML, Lords Institute Of Engineering And Technology, Hyderabad, India. Author

Keywords:

Healthcare Chatbot, Artificial Intelligence, Natural Language Processing (NLP), Machine Learning, Digital Healthcare, Symptom Analysis, Medical Assistance, Conversational AI, Clinical Decision Support, Health Informatics, Automated Diagnosis Support, Patient Engagement

Abstract

With the rapid advancement of Artificial Intelligence and digital healthcare technologies,
automated systems are increasingly being used to provide medical assistance and information. However,
many people still face challenges in accessing immediate healthcare guidance, especially for basic medical
queries and preliminary diagnosis. A Healthcare Chatbot System offers an efficient solution by providing
instant responses, basic medical advice, and health-related information through an interactive conversational
interface. This research paper presents the development of a Healthcare Chatbot System that uses Natural
Language Processing (NLP) and machine learning techniques to understand user queries and provide
relevant healthcare responses. The system is designed to assist users in identifying possible symptoms,
suggesting precautionary measures, and guiding them toward appropriate medical consultation when
necessary. It integrates a structured medical knowledge base to ensure reliable and accurate information
delivery.

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Published

2026-04-20

Issue

Vol. 13 No. 1 (2026): January-June

Section

Articles

How to Cite

1.
Healthcare Chatbot System. AJB [Internet]. 2026 Apr. 20 [cited 2026 May 13];13(1):85-90. Available from: https://ijpp.org/journal/index.php/ajb/article/view/559