Abstract:
Millions of people are suffering from mental illness due to the unavailability of early treatment and services for depression detection. It is the major reason for anxiety disorder, bipolar disorder, sleeping disorder, and depression and sometimes it may lead to self-harm and suicide. Thus, it is a very challenging task to recognize people who are suffering from mental health disorders and provide them with treatments as early as possible. Depression is becoming a social problem as the number of sufferers steadily increases. Depression is a prevalent mental disorder that can have a significant impact on people’s mental health as well as their day-to-day lives. Depression and mental illness are a key problem in society nowadays. It can cause a loss of interest in general activities that can lead to suicidal thoughts. Hence, the need for an automated system that can help in detecting depression in people of various age groups is being realized. In order to detect depression, Researchers have been looking for approaches to effectively identify depression. A number of studies have been proposed in this regard. In an era characterized by technological advancements and the growing recognition of mental health concerns, this project aims to leverage artificial intelligence (AI) and facial expression analysis to develop a depression detection system. In this project, we’re diving into the world of technology and mental health. The system’s primary objective is to accurately identify signs of depression through the analysis of facial expressions, enabling early intervention and support for individuals at risk. Our goal is to create a smart system that uses computers to understand people’s faces and figure out if they might be feeling down. This could help catch the early signs of depression and offer support when needed. Our idea is to use the latest technologies like Artificial Intelligence and its algorithms to teach the system how to look at facial expressions and guess if someone might be going through a tough time. Throughout this report, we’ll break down what this system can do and what it needs to work well. We’ll also show you how we’re planning to build it, including the different parts and how they’ll work together. we’re making sure to be respectful of people’s privacy and make good choices every step of the way. Our project is all about making technology work for mental health.
