A system for treating depression using smile detection and image processing

In today's life, we sometimes forget to smile, and this may lead us to bad moods and even depression. Scientists' research shows that even fake laughter helps change our mood. In this paper, a system has been designed for Windows that can detect a person's face and a user smiling through a webcam on a laptop. This system can be very helpful in avoiding or even treating depression. In this way, at certain times, this system is activated and asks the computer user to smile, and after detecting the smile, the user is allowed to continue working with the computer. For a long time, this system forces the user to have a happy mood while working and to avoid depression. You can even help the user laugh by displaying happy sentences and even jokes. To simulate and detect a smile, this paper uses the Python programming language, the powerful OpenCV library, and the Haar Cascade algorithm. Due to the high speed of this algorithm, this system can be used well in real-time processing when the user uses a computer.