A Machine Learning Based Conversational Healthcare Assistant for Symptom Analysis and Location-Aware Hospital Suggestion

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A Machine Learning Based Conversational Healthcare Assistant for Symptom Analysis and Location-Aware Hospital Suggestion

Megha Thakre , Dr. Sudhir Mohod

DOI : 10.46335/IJIES.2026.11.4.2

Abstract— Healthcare has been an important industry from then till now, and it is said to be one of the sectors which plays a critical role in preventing the increasing number of a particular disease. Effective therapy depends on the ability to reliably diagnose illnesses, and new technological developments may provide an answer. Computer algorithms can comprehend human language and extract required elements from responses thanks to machine learning (ML) and natural language processing (NLP), enabling human-like user interaction. You can even receive prescription drugs via the chatbot for health issues. In order to identify keywords and decide whether to respond to the user, the chatbot saves all of the information in a database. In this effort, a comprehensive evaluation of recent literature was carried out. We looked at a number of chatbot-related publications from the last five years. Next, we introduced a variety of related tasks to our chatbot, which uses user symptoms to predict illnesses and, based on the user's location, recommends local hospitals. We also presented various related works to our topic and the AI concepts required to build an intelligent conversational agent based on deep learning models. The online interface of the system will make it simple for users to interact with the chatbot