Multilingual Conversational AI Chatbot for Mental Health: A Scalable Solution for Personalized and Empathetic Support

Abstract

The increasing demand for accessible mental health support highlights the need for scalable and inclusive solutions. This study presents a multilingual conversational AI chatbot designed to provide personalized and empathetic mental health assistance. Leveraging Natural Language Processing (NLP), Machine Learning (ML), and the Gemini API, the chatbot can understand user sentiment, detect emotional cues, and deliver contextually appropriate responses across multiple languages. Integrating Cognitive Behavioral Therapy (CBT) principles, it offers therapeutic interventions such as mood tracking, coping strategies, and emotional guidance. The chatbot's architecture ensures user privacy through encrypted communication and enables scalability for large user bases. Experimental results demonstrate its ability to engage users effectively, identify emotional states accurately, and provide supportive, human-like interactions. This system contributes to making mental health care more accessible, inclusive, and responsive, marking a step forward in AI-driven psychological support and early mental health intervention.

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