A Method for detection for anxiety and depression of human brain using Machine learning and Artificial Intelligence

Abstract

This paper portrays another methodology for diagnosing tension and wretchedness in small kids. Right now, analysis right now long periods of organized clinical meetings spread over days and weeks. Conversely, we propose the utilization of a 90-second dread enlistment task during which time member movement is checking utilizing an industrially accessible wearable sensor. AI and information separated from one 20-second period of the errand are utilized to foresee finding in an enormous example of youngsters with and without a disguising analysis. We analyze the exhibition of an assortment of capabilities and model setups to recognize the best performing approach that gives a demonstrative exactness of 75%. This exactness is similar to existing demonstrative methods, however at a little division of the time and cost right now required. These outcomes highlight the future utilization of this methodology in a clinical setting for diagnosing youngsters with disguising issue.