This repository implements a convolutional neural network for recognizing emotions (angry, disgusted, fearful, happy, sad, surprised, neutral) from facial images. It uses the FER-2013 dataset containing 28,709 face images, trains the model with TensorFlow, and includes scripts for data conversion and training. The project was developed as a university seminar assignment at TU Delft and achieves approximately 67% accuracy on the dataset.