The illegal act of hiding the source of money
obtained illegally through a complex web of financial
transfers or commercial transactions is known as money
laundering. All things considered, this process implies and
indirectly gives the money launderer back the "clean"
money. Money laundering is the process of changing the
hue of money. It is also a virus that affects the finance
sector. The three steps are integration, layering, and
placement. There are several methods used globally to
identify money laundering at various phases. This is our
new approach, which is more accurate and starts with
deep learning. Here, we have some algorithms Randoms
Forest, Decision Tree and also ANN techniques to detect
fraud by implementing in a code. We can detect money
laundering is occurred or not if yes it will show the alert
message. Numerous financial institutions and industries
profit from this, particularly banks.
Keywords : Money Laundering, Decision Tree(DT), Random Forest(RF), Artificial Neural Network(ANN).