International Journal of Emerging Research in Science, Engineering, and Management
Vol. 2, Issue 1, pp. 210-217, January 2026.
This work is licensed under a Creative Commons Attribution 4.0 International License.
D. Janani
M. Ruchitha
K. Sujith
D. Sreekanth
C. Harsha Vardhan
Y. Vamshidhar Reddy
Department of CSE, Siddartha Institute of Science and Technology, Puttur, India.
Abstract: This project aims to improve healthcare accessibility and enable faster diagnosis, especially for people living in remote and underserved areas. It introduces an AI-powered medical chatbot that can understand health problems through voice input, uploaded images, and written symptoms. The system uses Natural Language Processing (NLP) to understand what users describe, Computer Vision to analyze medical images such as skin conditions or X-rays, and Machine Learning algorithms to predict possible diseases. By combining these different inputs, the chatbot provides personalized health suggestions, recommends necessary medical tests, and offers basic medical guidance in real time. The solution is designed with an easy-to-use interface for both web and mobile platforms, allowing users to access healthcare support quickly, conveniently, and anytime they need it.
Keywords: AI-powered Medical Chatbot, Healthcare Accessibility, Disease Prediction, Multimodal Input, Natural Language Processing.
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