Emotion Based Mental Health Classifier for NCR Based Engineering Students

Having a healthy body and mind is referred to as personal well-being. The human race is faced with great psychological strains in the current environment of rapid commercial development and pandemics. India is the nation with the highest burden of mental and behavioural illnesses as per a report by the world health organization for national care of medical health (NCMH, 2017) more than 300 million people experience depression on a global scale. The paper discusses a system named EMHC (Emotion Based Mental Health Classifier), which takes into account both categorical and sentimental attributes in order to classify students based on their Mental Health status. The system uses well established Machine Learning algorithms like DeepFace, K-means Clustering and Support Vector Classifier in order to classify students. The study classifies students under three categories: Good, Moderate, and Bad Mental Health. The Data for training and evaluating the system same was collected through a Web Application, whose link was shared among the students of the several Universities in India(NCR region) and the question in the Web Application were taken from [1] and [2]