The goal of a credit card fraud detection project is to leverage machine learning algorithms to accurately identify fraudulent transactions based on patterns and anomalies in credit card data. By analyzing transaction features and detecting unusual behavior, the model aims to differentiate between legitimate and fraudulent transactions effectively.