Advancements in Conversational AI: Building Mental Health Chatbot with BERT Model

Abstract

A significant portion of individuals experience various mental health challenges, including depression, anxiety, stress, and more. Many people may choose not to consult a counsellor or seek professional assistance due to factors like reluctance or financial constraints. The envisioned solution aims to alleviate this issue by offering people access to a chatbot that delivers essential support akin to a counsellor or therapist. This research presents the development of a mental health chatbot using the BERT model, trained to understand user queries with contextual information. The chatbot offers expert guidance on mental health concerns along with ADHD - a condition that affects individuals across diverse age groups and has implications extending beyond childhood, leveraging acurated dataset. The approach encompasses surveys, questionnaires, data analysis, and natural language processing. The chatbot delivers accessible support, tailored coping strategies, and a secure emotional outlet, synergizing with current services to foster proactive well-being augmentation. The goal is to establish an online platform to facilitate the tool's operation.

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