This project implements a Convolutional Neural Network (CNN) using PyTorch to classify images from the CIFAR-10 dataset into 10 different categories. The model is trained and evaluated on the CIFAR-10 dataset and demonstrates the fundamentals of deep learning for image classification tasks.