Published Paper Details:

The objective of this research is to create an AI-based platform aimed at detecting symptoms of trauma from voice and text communications, while also offering direct access to medical professionals. The main aim is to intervene early in mental health issues, especially those related to trauma. By employing cutting-edge algorithms, the system can analyze both voice and text data, providing a thorough insight into the user's mental well-being through a combination of modalities. Through real-time monitoring, the platform ensures timely assistance, while stringent privacy protocols protect user information. The interface is designed to be user-friendly, facilitating smooth communication, and the direct connection to trauma specialists enables immediate support. Additionally, the system incorporates continuous learning mechanisms, allowing it to evolve and enhance its capabilities over time. This initiative addresses the pressing need for innovative approaches in mental health, striving to contribute to early intervention and improved assistance for individuals grappling with trauma.In summation, this project constitutes a significant stride in the realm of mental health intervention, proffering an innovative solution for early detection and support in trauma-related concerns. Through its amalgamation of cutting-edge technology, robust privacy safeguards, and direct access to healthcare professionals, the platform endeavors to address the pressing need for enhanced mental health support. By prioritizing user well-being and harnessing AI-driven insights, this platform endeavors to make substantive contributions to the field of mental health, ultimately striving to ameliorate outcomes for individuals grappling with trauma.