Background

The rise of smartphone usage has made tasks like ride-hailing and bill payments convenient but has also exposed privacy concerns, notably with the surge in SMS scams. Scammers exploit these scams by impersonating entities and coercing users to click on fraudulent links, leading to financial theft. Existing software solutions rely on flagged phone numbers, but scammers use virtual numbers to evade detection. To combat this, our Machine Learning-based system employs algorithms to accurately detect and block fraudulent messages, enhancing detection accuracy and reducing manual review costs.