A Medical Chatbot Embedding with Artificial Intelligence for Self-Diagnosis

Healthcare is essential for a healthy existence. Scheduling a doctor's appointment for each health concern, however, could be incredibly difficult. Statistics show that most people already have heart or lung illness, even though many report never having been to a doctor. Most people do not have the medical knowledge to assess or diagnose their health issues accurately. In advanced human-computer interaction, natural language processing research is creating natural interaction modes like chatbots. Corporate and commercial applications are using chatbots to answer user enquiries in natural language. The objective is to create an artificial intelligence-powered medical chatbot that can diagnose illnesses and offer guidance on how to manage them effectively prior to the need for direct consultation with a physician. The suggested chatbot model acquires information about their health and then provides personalized responses and suggestions for dealing with each user's health issues while lowering healthcare expenses.

I. Introduction

The development of systems that interact with users in their mother tongue has garnered significant attention in recent years. A chatbot is a conversational agent capable of receiving user input in natural languages and similarly providing real-time responses [1]. There are two primary kinds of chatbots: rule-based chatbots and autonomous agent chatbots. Chatbots that adhere to a predefined set of rules are basically software programs designed for a specific purpose. These chatbots are ideal for helping consumers with their tasks based on commonly asked questions (FAQs). They are accurate and well-organized and use grammar, natural language processing (NLP), and certain machine learning (ML) methods [2].