Manomitra:Web 3 Enabled Mental Health Chatbot

This paper explores the innovation of Web 3-enabled mental health chatbot, aimed at addressing the significant gaps in existing mental health solutions for the Indian demographic. The research identifies the cultural, emotional, and privacyrelated challenges faced by Indian users when seeking mental health support. Current mental health platforms fail to provide culturally relevant solutions, lack emotional intelligence specific to Indian values and social structures, and often do not ensure adequate privacy. It aims to bridge these gaps by utilizing blockchain technology for decentralized authentication and enhanced privacy, ensuring user anonymity and data security. The chatbot is powered by machine learning models, including BERT, and is designed to recognize and respond to emotional cues in Hindi and other regional languages, enabling more personalized and empathetic interactions. Additionally, the system incorporates features like games for relaxation and family photo recommendations to support emotional well-being. This research highlights the importance of integrating Web 3 technology and cultural context in mental health platforms to create a more accessible, private, and user-friendly mental health support system. The paper discusses the need for expanding mental health resources, optimizing AI models, and ensuring privacy in a manner that aligns with Indian societal values.