Expression Analysis System

Expression is the most basic personality trait of an individual. Expressions, ubiquitous to humans from all cultures, can be pivotal in analyzing which not confined boundaries. Analyzing changes expression individual bolster process deriving his/her traits underscoring paramount reactions like anger, happiness, sadness and so on. This paper aims exercise Neural Network algorithms predict facial expressions. In this paper, a methodology analyze by periodic monitoring expressions presented. The proposed system intended exploiting Networks strategies first constantly under observation. done with help OpenCV captures at interval 15 secs. Thousands images per are used train model aptly distinguish between using prominent Methodologies Forward Backward Propagation. identified then fed derivative plots graph highlighting expression. acts as crux system. project important perspective serving alternative manual prone errors subjective nature.