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Title: :  Medical Assistance Chatbot using Artificial Intelligence and Machine Learning
PaperId: :  26408
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 11 Issue 3 2025
DUI:    16.0415/IJARIIE-26408
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Shaikh Akhil Shadul Pasha Pune Institute of Computer Technology Pune, Maharashtra, India
Dr. M.S. TakalikarPune Institute of Computer Technology Pune, Maharashtra, India

Abstract

Computer Engineering
Artificial Intelligence (AI), Machine Learning (ML), Medical Chatbot, Natural Language Processing (NLP), Symptom Checker, Virtual Health Assistant, Digital Health
With the growing demand for accessible healthcare and the increasing burden on medical professionals, technology-driven solutions are becoming essential in supporting early diagnosis, improving patient engagement, and optimizing healthcare delivery. This project introduces a Medical Assistance Chatbot powered by Artificial Intelligence (AI) and Machine Learning (ML) techniques, designed to provide instant, reliable, and user-friendly preliminary medical assistance. The core functionality of the chatbot involves natural language understanding using Natural Language Processing (NLP), enabling it to interpret user inputs expressed in everyday language. Users can describe their symptoms, ask health-related questions, or seek general medical advice. The chatbot processes this information and matches the symptoms against a trained ML model—built using medical datasets or symptom-condition mappings—to identify possible health conditions. Based on this prediction, it provides users with basic guidance, self-care tips, or recommendations to consult a healthcare professional when necessary. Technically, the system architecture includes: A frontend chat interface for user interaction, designed to be intuitive and mobile-friendly. A backend server with AI/ML capabilities for symptom analysis and response generation. A medical knowledge base or dataset (e.g., diseases, symptoms, conditions) used to train and fine-tune the chatbot. Optional integration with external APIs (such as symptom checkers or telemedicine platforms) for enhanced functionality. In addition to technical implementation, the project also focuses on data privacy, ethical AI practices, and user safety, ensuring that the chatbot does not provide misleading or critical diagnostic advice without proper disclaimers. This AI-powered chatbot not only enhances user experience and healthcare accessibility, especially in rural or underserved regions, but also serves as a scalable, low-cost tool that can assist in triaging patients, managing common health concerns, and reducing unnecessary clinic visits. It demonstrates the potential of intelligent systems in transforming digital health services and paving the way toward smarter, more responsive healthcare ecosystems.

Citations

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IJARIIE Shaikh Akhil Shadul Pasha , and Dr. M.S. Takalikar. "Medical Assistance Chatbot using Artificial Intelligence and Machine Learning" International Journal Of Advance Research And Innovative Ideas In Education Volume 11 Issue 3 2025 Page 44-48
MLA Shaikh Akhil Shadul Pasha , and Dr. M.S. Takalikar. "Medical Assistance Chatbot using Artificial Intelligence and Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 11.3(2025) : 44-48.
APA Shaikh Akhil Shadul Pasha , & Dr. M.S. Takalikar. (2025). Medical Assistance Chatbot using Artificial Intelligence and Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education, 11(3), 44-48.
Chicago Shaikh Akhil Shadul Pasha , and Dr. M.S. Takalikar. "Medical Assistance Chatbot using Artificial Intelligence and Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education 11, no. 3 (2025) : 44-48.
Oxford Shaikh Akhil Shadul Pasha , and Dr. M.S. Takalikar. 'Medical Assistance Chatbot using Artificial Intelligence and Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, 2025, p. 44-48. Available from IJARIIE, https://ijariie.com/AdminUploadPdf/Medical_Assistance_Chatbot_using_Artificial_Intelligence_and_Machine_Learning_ijariie26408.pdf (Accessed : ).
Harvard Shaikh Akhil Shadul Pasha , and Dr. M.S. Takalikar. (2025) 'Medical Assistance Chatbot using Artificial Intelligence and Machine Learning', International Journal Of Advance Research And Innovative Ideas In Education, 11(3), pp. 44-48IJARIIE [Online]. Available at: https://ijariie.com/AdminUploadPdf/Medical_Assistance_Chatbot_using_Artificial_Intelligence_and_Machine_Learning_ijariie26408.pdf (Accessed : )
IEEE Shaikh Akhil Shadul Pasha , and Dr. M.S. Takalikar, "Medical Assistance Chatbot using Artificial Intelligence and Machine Learning," International Journal Of Advance Research And Innovative Ideas In Education, vol. 11, no. 3, pp. 44-48, May-Jun 2025. [Online]. Available: https://ijariie.com/AdminUploadPdf/Medical_Assistance_Chatbot_using_Artificial_Intelligence_and_Machine_Learning_ijariie26408.pdf [Accessed : ].
Turabian Shaikh Akhil Shadul Pasha , and Dr. M.S. Takalikar. "Medical Assistance Chatbot using Artificial Intelligence and Machine Learning." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 11 number 3 ().
Vancouver Shaikh Akhil Shadul Pasha , and Dr. M.S. Takalikar. Medical Assistance Chatbot using Artificial Intelligence and Machine Learning. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2025 [Cited : ]; 11(3) : 44-48. Available from: https://ijariie.com/AdminUploadPdf/Medical_Assistance_Chatbot_using_Artificial_Intelligence_and_Machine_Learning_ijariie26408.pdf
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