This report presents an advanced AI system for image classification using Convolutional Neural Networks (CNNs). The project utilizes transfer learning with a pretrained ResNet-18 model to classify images into multiple categories with high accuracy. By training only the final classification layer, the system reduces computational cost while achieving strong performance. This approach demonstrates the effectiveness of modern deep learning architectures in solving real-world computer vision problems
