The rapid growth of social media has significantly impacted mental health, with rising cases of depression, anxiety, and stress worldwide. This study explores how Artificial Intelligence (AI) can transform mental health care by analyzing social media behavior for early detection. By integrating depression, anxiety, and stress scales (DASS) with advanced AI methods like generative AI and machine learning, the research aims to assess mental well-being through ongoing monitoring of online activity. Findings from recent studies demonstrate AI’s potential to enhance the accuracy of predicting and classifying mental health conditions. The study also identifies future research opportunities to improve AI-driven approaches, offering solutions to support mental well-being in an increasingly digital world.