This repository implements a convolutional neural network for facial expression recognition, achieving 73.112% accuracy on the FER2013 dataset and 94.64% on the CK+ dataset. It provides scripts for data preprocessing, model training, evaluation, and visualization of results using VGG19 and ResNet architectures. The project includes utilities for generating confusion matrices and running inference on test images with pretrained models.