Psychology Chatbot: A Conversational AI for Mental Health Support

23 Jun

Authors: Ashwini Kale, Rahul Paul, Anant Tejale

Abstract: – This report discusses the design, development, and anticipated effects of a psychology chatbot app aimed at providing affordable and initial mental health guidance. As the prevalence of mental health issues rises and advancements in Natural Language Processing (NLP) and Artificial Intelligence (AI) continue, there's a unique opportunity to utilize conversational agents for preliminary assessments, psychoeducation, and connecting users with appropriate resources. This project details the structure of the chatbot, including its knowledge base, NLP engine, dialogue management system, and user interface. It also addresses ethical considerations, challenges, and possible future developments in the use of AI for mental health care. The focus is on creating an empathetic and user-friendly virtual assistant capable of engaging in meaningful conversations, offering coping strategies, and directing users to professional help when necessary. The evaluation plan includes user testing to assess the chatbot's usability, its effectiveness in providing support, and overall user satisfaction. This initiative contributes to the growing landscape of AI-driven mental health solutions by presenting a practical implementation and a thoughtful analysis of its opportunities and challenges.