The Credit Card Fraud Detection project utilizes logistic regression to analyze transaction data, identifying patterns indicative of fraudulent activity. By training the model on historical data, it learns to predict the likelihood of fraud, enabling real-time detection and prevention measures to safeguard financial transactions and protect users from unauthorized activities.