Abstract With human-computer interactions on the rise, in use for even the most mundane things like shopping, making travel arrangements and ordering food as well as matters of national importance such as healthcare and security, Facial Expression Recognition has become crucial to our lives. Currently used traditional facial expression recognition systems rely on manual tuning by experts to get optimised results, face challenges such as the demand of resources and expert-level knowledge of a plethora of neural net…