Authors - Rakhi Bharadwaj, Nikhil Patil, Riddhi Patel, Raj Pagar, Suchita Padhye Abstract - Integrated AI within the context of mental health has continued to be an emergent area of interest as more and more mental health applications in mobile devices, include chatbots. Such chatbots are the focus of this paper, and their design based on NLP, machine learning, and sentiment analysis is illustrated in order to help people who suffer from anxiety and depression providing them with individual therapeutic support. Despite these applications equip users with means of tracking moods, sharing concerns and getting ideas about mental health, they are not a license to practice. The study also responds to fundamental questions about their usability, usefulness, privacy, security, and protection of data. Because the need for mental health services continues to increase in parallel with technological progress, one has to maintain the harmony between innovation and ethics. Discussing the current mental health platforms, their technological model, and case studies of their usage, this paper also emphasizes the related risks – the misuse of AI in mental health treatment. Leaving aside the beautiful language and the fascinating discussions with the machines, the goal of the study is to provide theoretical perspectives as well as pragmatic suggestions for way AI can be used to improve mental health care responsibly.
