Year: 2025
Type: article
Abstract: - In many parts of the world, a critical shortage of trained mental health professionals leaves countless individuals without the support they urgently need. As highlighted by the World Health Organization, this shortfall underscores the pressing need for scalable, innovative solutions to close the mental health care gap. Conversational AI tools, such as chatbots, have emerged as promising platforms capable of delivering interactive mental health support. These digital solutions are particularly valuable for users hesitant to seek traditional therapy services. While existing chatbots like SERMO and Aapka Chikitsak offer some assistance, they often lack essential features such as data analytics and visual progress tracking.This paper introduces BeYouBot, a next-generation mental health chatbot designed to address these limitations. Built using advanced Natural Language Processing (NLP) and a powerful Large Language Model (LLM), BeYouBot offers real-time, personalized support through WebSocket-based communication. It empowers users to monitor their emotional well-being with insightful analytics and graphical visualizations of mental health trends. Additionally, BeYouBot delivers tailored self-care guidance via email and offers around-the-clock conversational support. By combining intelligent interaction with accessibility and personalization, BeYouBot aims to make mental health care more inclusive, effective, and universally accessible. Index Terms - Mental health care chatbots, behavioral health, real- time interactions, graphical data, LLM Model, natural language processing, analyzed reports.
DOI: 10.55041/ijsrem51793
Authors: Sahana M B, Anil Kumar K N
Institution: Rajeev Institute of Technology
Language: English
Subfield: Applied Psychology
Field: Psychology
Domain: Social Sciences
Open Access status: bronze
OpenAlex ID: W4413129794