This project implements a computer vision system for Google’s QuickDraw game. It trains a convolutional neural network on the Quick Draw dataset to classify user sketches into 20 categories including objects like apple, book, guitar, and star. The repository includes a camera-based drawing app where users draw with a colored pen in front of a webcam, and the model performs real-time classification on the drawn strokes.