Depression Analysis Using Facial Recognition, Speech and Questionnaires

Depression Analysis Using Facial Recognition, Speech and Questionnaires

Daksh Patel, Omkar Bhor, Het Patel, Deepak Shingade

Ms. Ekta Choudhari

ABSTRACT
Depression has long been a source of worry in our culture, and it has remained a hot issue for scholars all around the world. Depression is a common cause of mental illness that has been associated with an increased risk of dying early. Furthermore, it is a leading cause of suicide ideation and significantly impairs everyday functioning. Despite the vast amount of research on understanding individual moods, including depression, anxiety, and stress-related activity, Predicting emotions using these activity records collected by ubiquitous computing devices such as cellphones remains an unsolved task. In this project, we have proposed a system for detecting suicidal thoughts and analysing depression, for predicting suicidal acts based on the level of depression.

Keywords: Depression, Stress, Anxiety, Risk.