A Mental Health Chatbot Based on Artificial Intelligence and Machine Learning

Abstract

Chatbots provide young people additional low-barrier chances for preventive mental health support. We outline an exploratory design study in which we created and assessed a prototype chatbot to assist school nurses in their work with the school health service in order to give the knowledge required to develop chatbots for this purpose. The development of the prototype was aimed at promoting mental health prevention. School nurses, professionals in digital health, and kids, all participated in the design process. We identified four categories of help to be offered through the chatbot through user insight activities: informative, relational, processual, and referral support. Through concept development and prototyping, we investigated these four sorts of support. These findings are offered as a possible starting point for a framework for comprehending young people's requirements for chatbots for preventive. Additionally, you can use ML chatbots as your most powerful marketing tool to advertise your goods or services. By proactively recommending your products to customers based on their search history or past purchases, chatbots can boost sales conversions.