Over the years, people acquire money illegally from public treasury and launder it by depositing it as clean money into the banking system. Hence, the laundered money is integrated back into the financial system concealing the illicit sources. Money laundering is a major challenge and a threat to both financial institutions and government. This research is aimed at developing an Enhanced Multi-agent Money Laundering Detection System for monitoring cash flows in individual and corporate accounts in deposit money banks and other financial institutions, so as to detect illicit fund movement. In an effort to checkmate money laundering, threshold is used by financial institutions to check the volume of money an individual or company can transact in a single transaction. This is defective as the transaction can be broken into pieces to avoid being detected. The existing Money Laundering detection systems lack intelligence on detecting money laundering when it evades the stated threshold. This work aims at developing an Enhanced Multi-Agent Money Laundering Detection System with time frequency analysis. The system was designed to monitor financial institutions monetary transactions to de
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