Predicting License Plate Prices using Machine and Deep Learning

In this paper, the implementation of predicting license plate prices using Machine Learning (ML) and Deep Learning (DL) techniques is described. We focus on Dubai's license plates, given that they are not uniformly priced and the said variations in price can be attributed to specific patterns within the plates. The ML and DL techniques used in this work create models that could accurately predict the price of a plate from its content. We believe that this could lead to the deployment of a web application that would allow the potential buyers or sellers of a plate to easily gauge the inherent market price.