AI-Powered Trauma Chat Assistance: Identifying Trauma Symptoms from Voice and Text Communications

Trauma symptoms often go unnoticed, impacting mental health. We present an AI-powered platform for identifying trauma symptoms from voice and text communications, addressing a critical healthcare challenge. Existing methods for recognizing trauma symptoms are limited, relying on in-person assessments. This leads to delayed intervention and hinders timely mental health support. Traditional methods lack scalability and real-time assessment capabilities, making them inadequate for addressing the dynamic nature of trauma-related distress. Our solution leverages AI to analyze voice and text data, enabling early identification of trauma symptoms. It offers direct access to healthcare professionals for immediate support. We utilize a diverse dataset containing voice and text samples, representing real-world conversations, enhancing the model’s robustness and accuracy. Our AI-powered system achieves a remarkable accuracy of 97.5%, outperforming conventional methods. Precision, recall, and F1-Score metrics demonstrate its effectiveness in identifying trauma symptoms. The AI-Powered Trauma Chat Assistance platform offers a transformative approach to identify trauma symptoms promptly, revolutionizing mental healthcare and improving patient outcomes.