Many people suffer, from mental health issues which often take them towards significant harmful decisions. The increase in mental health diseases makes the need for an in-depth analysis of an examination in this field. This paper surveys the comparative analysis of the current state of mental health research and the variety of inventions brought to date, also the techniques using which researchers can trace the modes of expression of mental health issues eventually detect early stages of distress and monitor the impact. It reviews the current applications of text, video and audio analysis in mental health research, challenges in preprocessing unstructured data, and the importance of balancing machine-based analysis with human understanding. The novelty of the research lies in its in-depth analysis of smart tools designed for monitoring mental health using text, video and audio providing insights into the real-world challenges and benefits of using such technologies in everyday settings.