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A Chatbot-based Mobile Application to Predict and Early-prevent Human Mental Illness

The paper outlines the design of a chatbot mobile application for human mental health, which can determine whether an individual has a mental illness and suggest prevention methods by using machine learning algorithms. There are some popular mental counseling applications in the markets, most of which are based on one mental survey or examination. We noticed that this can be done in a more natural/intelligent way - texting, talking or even videoing. Our application can interact with users by texting, talking and videoing, which are based on natural language processing (NLP) and integrated continuous emotion dialogue analysis and sentence/audio generation.