This article reviews the role of artificial intelligence (AI) in promoting positive mental health. AI has the potential to significantly impact mental health care through various applications, including awareness, support, and intervention. The paper explores the different aspects of AI in mental health, such as machine learning, natural language processing, and computer vision, and their applications in diagnosing, treating, and managing mental health disorders. It also discusses the ethical, privacy, and cultural considerations associated with AI in mental health care. The review highlights the benefits of AI in improving the accuracy and efficiency of mental health assessments, as well as its potential to enhance emotional regulation and support individuals with mental health concerns. However, the paper also addresses the limitations and challenges of AI in mental health, including issues related to bias, data privacy, and the need for culturally sensitive interventions. The article concludes with recommendations for improving the implementation of AI in mental health care, emphasizing the importance of transparency, accountability, and ethical considerations in the development and use of AI technologies.This article reviews the role of artificial intelligence (AI) in promoting positive mental health. AI has the potential to significantly impact mental health care through various applications, including awareness, support, and intervention. The paper explores the different aspects of AI in mental health, such as machine learning, natural language processing, and computer vision, and their applications in diagnosing, treating, and managing mental health disorders. It also discusses the ethical, privacy, and cultural considerations associated with AI in mental health care. The review highlights the benefits of AI in improving the accuracy and efficiency of mental health assessments, as well as its potential to enhance emotional regulation and support individuals with mental health concerns. However, the paper also addresses the limitations and challenges of AI in mental health, including issues related to bias, data privacy, and the need for culturally sensitive interventions. The article concludes with recommendations for improving the implementation of AI in mental health care, emphasizing the importance of transparency, accountability, and ethical considerations in the development and use of AI technologies.