CARSPOTTING: A CNN FOR AUTOMATIC CAR IDENTIFICATION

• Developed a machine learning project using CNN to classify carimages into different categories based on their make and model. • Conducted data collection and preprocessing, model development, hyperparametertuning, and evaluation to optimize the model’s accuracy and performance. • Conducted hyperparametertuning and model optimization to achieve the highest possible accuracy of 100% on the test dataset.