We humans have a number of differentfacial expressions that we can understand the feelings ofanother. In general,
facial expressions are a natural and direct way for a person creature to communicate their emotions and intentions.
Facial expressions are key aspectsof non-verbal communication. However, Human Face expression Recognition is one
of the most powerful as well challenging tasks to be performed due to communication ambiguity. Therefore, we need a
method that can provide real-time analysis vague feelings. The list of emotions that is viewed around the world is -
happiness, sadness, surprise, fear, anger, disgust. Therefore, in this paper we have built a system of pre-processing,
extraction and separation emotions based on their facial expressions using machine learning algorithms. This
method will also solve the problems of lighting variation, suspension flexibility, light variation, skin tone variation and
real user experience analysis time using algorithm to getfacialexpressions.
Software And Hardware