Preventive depression diagnosis system for school students using emotion detection tools

There is currently a lack of systems or software that allow the diagnosis of mental illnesses or that facilitate its detection. Diseases such as depression are the main causes of low productivity and disability in adults, adolescents and children. This study focuses on providing a system that facilitates the diagnosis of depression in the public most vulnerable to this disease: children, so its use is oriented to school students. The system will consist of a psychological test implemented in a mobile application that provides a first result. Possible emotions of the schoolchild will be identified, giving indications that could help identify if the student is going through a depressive condition. After diagnosis, the psychologist will notify the state of the students to their parents.