This paper represents the development and evolution of Machine Learning (ML) and Artificial Intelligence (AI) with various aspects and methods that are used in the determination of the emotion of the user. The use and enhancement of the technology are carried out in huge numbers including use in the security sector. Researchers working in these fields are currently trying different methods from ML/AI for better results and higher accuracy. The accuracy level depends on the training models and the amount of data given. Too much training of the model is also not considered good, this leads to inaccurate results. Communication and security are two common and important aspects of the project. These aspects have been improved by rapid expansion in geometric computing and algorithm advancements.

FER= Facial Expression Recognition. MLP= Multi-Layer Perceptron RBF= Radial basis function DCNN= Deep Convolutional Neural Networks.