AL-Powered healthcare chatbot for personalized medical assistance and wound classification

May 2025
Vol-11, Issue-3
Paper ID: 26519
ISSN: 2395-4396
Downloads: 0

Abstract & Details

Research Area
AI-Powered Healthcare System
Keywords
Healthcare Chatbot AI-powered Medical Consultation Natural Language Processing (NLP) Symptom Analysis Wound Classification.
Abstract
The Healthcare Chatbot System is an AI-powered platform designed to improve access to medical consultation, especially for minor health concerns that may not require in-person visits. It offers features such as medical advice, appointment booking, wound image classification, and voice-enabled interaction. Built with a Flask backend and MySQL database, it efficiently manages users and doctors. The chatbot, developed using the ChatterBot library and trained on medical dialogues, responds contextually to health-related queries. Natural language processing through BERT enables the system to analyze symptoms and suggest possible conditions or guide users to specialists. A wound classification module, using a pre-trained ResNet50 model in Keras, processes uploaded images and provides basic treatment suggestions. The interface supports both text and voice communication, making it accessible and user-friendly. An integrated admin dashboard streamlines the management of users, doctors, and medical data. This solution is applicable in hospitals, clinics, remote healthcare services, and personal wellness platforms. It reduces the burden on medical professionals by handling routine queries, offers 24/7 assistance, and enhances patient engagement. Planned improvements include multilingual support, integration with wearable health devices, and more advanced diagnostic capabilities using deep learning, further expanding its role in accessible and efficient healthcare delivery.

Author Information

# Name Institute / Affiliation
1 Prof. Manjunath N Vidya Vikas Institute Of Engineering And Technology Mysuru
2 Anekanth Jain M S Vidya Vikas Institute Of Engineering And Technology Mysuru
3 Dakshath Prasad R Vidya Vikas Institute Of Engineering And Technology Mysuru
4 Harshith N Vidya Vikas Institute Of Engineering And Technology Mysuru
5 Manoj R M Vidya Vikas Institute Of Engineering And Technology Mysuru

How to Cite

Use the following formats to cite this article in your research.

APA Style
N, Prof. Manjunath, S, Anekanth Jain M, R, Dakshath Prasad, N, Harshith, & M, Manoj R (2025). AL-Powered healthcare chatbot for personalized medical assistance and wound classification. International Journal of Advance Research and Innovative Ideas In Education, 11(3), 719-724.
MLA Style
N, Prof. Manjunath, et al. "AL-Powered healthcare chatbot for personalized medical assistance and wound classification." International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, 2025, pp. 719-724.
IEEE Style
Prof. Manjunath N, Anekanth Jain M S, Dakshath Prasad R, Harshith N, and Manoj R M, "AL-Powered healthcare chatbot for personalized medical assistance and wound classification," International Journal of Advance Research and Innovative Ideas In Education, vol. 11, no. 3, pp. 719-724, 2025.
Vancouver Style
N Prof. Manjunath, S Anekanth Jain M, R Dakshath Prasad, N Harshith, M Manoj R. AL-Powered healthcare chatbot for personalized medical assistance and wound classification. International Journal of Advance Research and Innovative Ideas In Education. 2025;11(3):719-724.
Harvard Style
N, Prof. Manjunath, S, Anekanth Jain M, R, Dakshath Prasad, N, Harshith, & M, Manoj R (2025) 'AL-Powered healthcare chatbot for personalized medical assistance and wound classification', International Journal of Advance Research and Innovative Ideas In Education, 11(3), pp. 719-724.
Chicago Style
N, Prof. Manjunath, et al. "AL-Powered healthcare chatbot for personalized medical assistance and wound classification." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 719-724.
Turabian Style
N, Prof. Manjunath, et al. "AL-Powered healthcare chatbot for personalized medical assistance and wound classification." International Journal of Advance Research and Innovative Ideas In Education 11, no. 3 (2025): 719-724.

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