Mental health chatbot with mood visualization

Abstract

Stress, anxiety, depression, and emotional imbalance are measurable trends among the student population and young adults. Even though the understanding of these issues has been raised, still a great number of people reluctant to ask for professional help because of the social stigma, limited accessibility, lack of time, and financial barriers. This paper introduces the design and implementation of a Mental Health Support Chatbot, which offers the initial emotional support through a text-based conversation. The envisaged framework implements a rule-based mood detection method, wherein the user statements are examined with the help of the predetermined keywords and patterns. The chatbot, based on the recognized emotional state, thus, composes the empathetic and encouraging utterances which are generally based on the supportive counseling principles

Keywords: Mental health chatbot, rule-based system, emotion detection, artificial intelligence