AI Chatbot for Automated Healthcare Assistance
DOI:
https://doi.org/10.5281/ijurd.v1i1.79Keywords:
AI Chatbot, Healthcare Assistance, NLP, Virtual AssistantAbstract
The increasing demand for accessible and efficient healthcare services has led to 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 deliver context-aware responses. It integrates a symptom-checking module with a knowledge-based backend to generate probable diagnoses and suggest appropriate actions, such as seeking medical consultation or following basic care guidelines. The chatbot is further enhanced using hybrid learning approaches to improve response accuracy and adaptability over time. Experimental observations indicate that the system achieves reliable performance in handling common healthcare queries while reducing the burden on medical professionals. Additionally, the integration of prior research in disease prediction and ensemble learning strengthens the system’s predictive capabilities. The proposed solution demonstrates the potential of AI chatbots in improving healthcare accessibility, especially in remote and resource-constrained environments, by providing instant, scalable, and cost-effective assistance.
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Copyright (c) 2025 Anjali Sethi, Kiran Mehta
This work is licensed under a Creative Commons Attribution 4.0 International License.
