AI Chatbot for Customer Mental Health Support System

Abstract

Mental health challenges among customers interacting with digital platforms are increasing due to stress, isolation, and lack of immediate support. This paper proposes an intelligent AI-based chatbot system designed to provide real-time mental health assistance to users. The system leverages Natural Language Processing (NLP) and Machine Learning (ML) techniques to understand user emotions, detect distress patterns, and provide supportive responses. The chatbot is capable of engaging in empathetic conversations, offering coping strategies, and guiding users toward professional help when necessary. Unlike traditional support systems, this solution ensures 24/7 availability, anonymity, and scalability. The proposed model improves accessibility to mental health support while reducing dependency on human intervention. Experimental results demonstrate improved user engagement and satisfaction, making the system a reliable tool for preliminary mental health assistance.