For Banking transactions, credit Card Play a role in Economically growing society it allows a cashless society, credit cards support economic growth by lowering government spending on the production and distribution of currency. Physical theft, phishing, skimming, data breaches, identity theft, chargeback scams, card testing, mail interception, ATM fraud, SIM swapping, and rewards theft are all examples of credit card fraud. In FY24, 29,082 instances of credit/debit card and internet-based fraud were recorded, which represents a 334% rise over the 6,699 cases that occurred in the previous fiscal year. Governments may save billions of moneys by implementing a cashless society, which they could then use on other economic projects. Credit card fraud is an existential threat because it can lead to large financial losses and security risks. Traditional techniques for detecting fraud, including rule-based systems, are frequently unable to keep up with new fraudulent strategies. To increase the security of transactions, improve the accuracy of detection, and reduce false positives, this paper aims to evaluate the credit card fraud detection methods used by banks and the difficulties in implementing the said methods & exploring how artificial intelligence (AI) can be integrated into credit card fraud detection. This study examines various AI methodologies, system architecture, and the deployment of a web-based fraud detection system.