Mental Health State Detection Using Open CV and Sentimental Analysis
Manav Pradeep Jain, Soumyaprakash Sribash Dasmohapatra, Stevina Correia
Abstract
The Mental health of an individual refers to his/her's cognitive, behavioral, and emotional well-being. In simple terms, it can be described as how people feel, behave, think, and how they handle situations. Mental health is an important aspect of an individual's well being. Several factors damage mental health, namely stress, anxiety, etc. If proper care is not given to a person suffering from mental illness the consequences may be bad. With technology at its peak nowadays one can harness the powers of a computer to predict the onset of such mental illnesses. Applications implemented using machine learning and Artificial intelligence algorithms can be used to predict such onsets and can serve as a monitor for any unusual behavior in individuals. The main aim of the paper is to predict Mental Health state of an individual. The paper discusses the system in detail which helps in doing so. The system consists of 4 modules namely -1) Pulse-based Depression detection 2) Facial Emotion Detection 3) Questionnaire 4) BOT Assistant. The output of all the models is combined and by further analysis ,the final outcome is given in the form of prediction of the user's state of mind .