SmartHealthBot: A Sustainable AI Chatbot for Health Equity and Digital Innovation

Abstract

In many areas where there is little infrastructure available to deliver timely and reliable healthcare, users can remin an opportunity to use SmartHealthBot - an AI-powered healthcare chatbot providing real-time, individualized assistance, driven by artificial intelligence and deep learning. This utilizes natural language processing to interpret user symptoms provided via either voice or text format, allowing users' interactions to be user friendly and inclusive. It leverages a hybrid methodology combining the advantages of both artificial neural networks and Naive Bayes classification, providing the ability to predict disease based upon a user's reported symptoms. Specifically, artificial neural networks (ANNs) are used to model the complex interrelationships between symptoms, while Naive Bayes classification provides for the rapid identifying of likely symptom groups. Further, through its use of sentiment analysis, it provides its users with mental health monitoring capabilities, including providing stressreliefsuggestions and motivation, as well as recommendations for enhancing diet and preventing illness, thereby supporting sustainable healthcare that encourages prevention. SmartHealthBot provides a rich analytics dashboard that assists the user in visualizing the trends and interactions of their symptoms, gaining greater insight into themselves.