Facial identification has been an easy task for humans for a very long interval of time but facial expressions with emotions are quite challenging nowadays. With the great success of machine learning, researchers are working day and night to interpret facial expressions having emotions like sadness, anger, happiness, etc. Although, in the topical research on facial identification, there are numerous issues such as low lustiness and indigent abstraction of recognition system. This paper depicts how people use their facial emotions to describe their situation and at the same time use the same emotions that imply whether they are happy or sad, upset or normal, etc. that is quite challenging to predict one's mood as multiple emotions are taken into account for distinguished problems which have impacted the performance of many existing systems proposed so far. In addition, this paper also analyzesa few machine learning algorithms along with feature extraction techniques that would benefit us in the unerring identification of human emotion.