  We aim to construct a system that captures real-world facial images through
the front camera on a laptop. The system is capable of processing/recognizing
the captured image and predict a result in real-time. In this system, we
exploit the power of deep learning technique to learn a facial emotion
recognition (FER) model based on a set of labeled facial images. Finally,
experiments are conducted to evaluate our model using largely used public
database.
