AI Chatbot for Automated Healthcare Assistance
DOI:
https://doi.org/10.5281/ijurd.v1i3.49Keywords:
AI Chatbot, Healthcare Assistance, NLP, Virtual AssistantAbstract
The increasing demand for accessible and efficient healthcare services has accelerated the adoption of AI-driven conversational systems. This paper presents an AI Chatbot for Automated Healthcare Assistance designed to provide preliminary medical guidance, symptom analysis, and patient interaction support. The proposed system leverages natural language processing and machine learning techniques to understand user queries and generate context-aware responses. It integrates a symptom-checking module with a knowledge-based backend to predict possible conditions and recommend appropriate actions, such as consulting a healthcare professional or following basic care guidelines. The chatbot is further enhanced using hybrid learning approaches to improve accuracy and adaptability over time. Experimental results demonstrate that the system effectively handles common healthcare queries while reducing the workload on medical professionals. Additionally, integration with prior research in disease prediction and ensemble learning enhances system robustness and reliability. The study highlights the potential of AI chatbots in improving healthcare accessibility by providing scalable, real-time, and cost-effective assistance, particularly in remote and resource-constrained environments.
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Copyright (c) 2025 Suraj Dhillon, Chandan Sethi, Nitin Bajwa
This work is licensed under a Creative Commons Attribution 4.0 International License.
