Fraud detection in financial transactions is a critical concern for institutions as fraud tactics become more sophisticated.Traditional rule-based systems struggle to keep up with evolving fraud techniques, leading to financial losses and a loss of trust.Machine learning (ML) offers a revolutionary approach to fraud detection, utilizing large datasets and advanced algorithms.ML models can learn from transaction patterns, detect anomalies, and provide accurate and reliable fraud detection.