The majority of people deal with depression on a daily basis, which is a prevalent and seriousmental illness. Depression has an impact on a person's physical, psychological, and mental health in addition to their emotional state. In contrast to other illnesses, depression cannot be diagnosed through laboratory testing, goes unnoticed due to a lack of knowledge and awareness, and can deteriorate to the point of suicide. Physicians are currently using self-reported questionnaires and inperson interactions as part of their diagnostic process for identifying depression. A psychiatricevaluation of social interactions and human behaviour is required for the diagnosis of depression. The patient's audio and video recordings show how people with depression behave differently than average people do. The user and the admin are the two different user categories that can interact with the application. The user has two choices: the PHQ-9 exam or an evaluation that consists of three components-a questionnaire, a video, and an audio detection, each weighted at 33% and used to determine the user’s level of depression. The findings are also used to suggest treatment alternatives. In order to combat the condition sooner, computer vision and machine learning havebeen employed to diagnose depression.