Our project leverages cutting-edge deep learning algorithms to animate 2D designs by training on a complex dataset of input parameters, including color, shape, and movement data. By employing advanced techniques in data preprocessing and model training. We are able to extract meaningful patterns and relationships from the training dataset that enable the automatic generation of high-quality animations that are visually coherent with the input designs.