Some of the mental health issues that are growing increasingly common and burdensome in the global public health community are bipolar disorder, schizophrenia, depression, and anxiety. Even though awareness and treatment have grown, more needs to be done to address early diagnosis, individualized care, ongoing monitoring, and equitable access to care. Recent developments in artificial intelligence (AI) hold great potential for revolutionizing mental health treatment by making evidence-based, scalable, and customized interventions possible. This study looks at the applications of artificial intelligence (AI) in mental health, including early detection and diagnosis, prevention, therapy, and monitoring. Artificial Intelligence (AI) tools like computer vision, machine learning, and natural language processing have shown remarkable success in identifying and interpreting meaningful patterns in unstructured and challenging-to-analyses data, including voice, social media, and facial expressions. Even before symptoms show up, these methods can identify mental health issues early on. By providing real-time monitoring of mood, behavior, and physiological markers, wearable technology and AI-powered mobile health apps provide proactive and continuous mental health care. Artificial intelligence (AI)-powered chatbots, virtual mental health specialists, and decision-support technologies are being used in practice to relieve mental health practitioners' workloads and streamline therapy delivery. They are an accessible, cost-effective, and stigma-free method of receiving mental health care, especially for underprivileged or rural communities. Data privacy, algorithmic bias, transparency, and ethical concerns about autonomy and informed consent are just a few of the serious difficulties surrounding the integration of AI with mental health. This paper examines artificial intelligence's current status in mental health critically, emphasizing its useful uses, advantages, challenges, and legal concerns. It highlights how crucial interdisciplinary cooperation is between engineers, doctors, ethicists, and legislators to ensure that AI is applied in a responsible and equitable manner. The report also identifies key topics for future research, including explainable AI, establishment of strong ethical and regulatory frameworks, adaption of cross-cultural models, and interaction with genetics and neuroscience. Through the synthesis of recent research and the extrapolation of future trends, this study aims to provide a comprehensive picture of how AI may revolutionize mental health therapy. It promotes a mutually beneficial approach to AI that optimizes its use while upholding human rights, dignity, and welfare.