Abstract - This study presents an AI-driven chatbot designed to offer personalized mental health assistance through natural language processing (NLP) and machine learning (ML). The system assesses users’ emotional states and provides tailored coping methods, mindfulness routines, and cognitive behavioural therapy (CBT)–based exercises. It continuously monitors mood trends to encourage proactive self-care. By delivering around-the-clock, judgment-free guidance, the chatbot reduces stigma and improves accessibility to psychological support. Its scalable and adaptive framework enhances inclusivity while complementing professional mental health care.

Keywords: Natural Language Processing (NLP), Emotional Support, Cognitive Behavioural Therapy (CBT), Mood Tracking, Anonymity, Scalability.

Downloads: | DOI: 10.17148/IARJSET.2025.121107