FinBot

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  Preventing money laundering

Inspired by the amount of financial frauds that go undetected in the banking sector

Detectes potential suspicious transactions based on variables such as nationality, age, transaction turnover

Linear regression model using Python

Tried models are Linear Regression, Random Forest, CNN

Implementing machine learning that could accurately detect the transactions with potential fraud triggers/flags

Learning throughout the process

To practice a lot and never give up

Fine tuning the algorithm hopefully :)

Built With

• java
• python