In this project, I developed a Convolutional Neural Network (CNN) using Keras and TensorFlow to detect facial keypoints and expressions. The goal of the project was to accurately predict the expression and corresponding facial keypoints for a given image of a human face. The dataset used for training and testing the model included images of faces with different expressions, with a total of approximately 27000 images split across 5 different emotions plus keypoints.