Abstract
The research paper explores the evolving landscape of mental health care chatbots, examining their features, challenges, and future prospects. By synthesizing current research and developments, we aim to provide insights into the potential benefits and limitations of integrating chatbots into mental health care. According to the literature survey these systems have used different frameworks of Natural Language Processing (NLP), Natural Language Understanding (NLU) technologies and ML models. The chatbot aims to make a discussion between mortal and machine. Healthcare chatbot system stores the knowledge database to identify the judgment and making a decision to answer the question of the users and save their time and get the instant response. Keywords— Natural Language Processing, Artificial Intelligence, Mental Healthcare system, Machine learning, Natural Language Understanding, Chatbot
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