Stress and Mental Health Detection using Machine Learning

Abstract

Abstract: The precise determination of psychological health and stress levels substantial involvement in the course of a patient's therapy, Especially during the initial phases of the condition, it's crucial to remain vigilant as there's a potential for health risks to emerge for the patient. Deep Learning (DL) has emerged as a prevalent technique utilized to detect stress and mental health conditions, aiding in their identification. in a timely manner. Here, we provide mental health prediction utilizing KNN, Random Forest, and Logistic Regression whereas CNN for stress detection to aid in the timely identification of the illness. The website we created compiles the patient/person dataset. It aids When forecasting the outcome of the event, patient's or person's mental health and stress levels once the necessary training procedures have been completed.