Credit Card Fraud Detection

Credit Card Fraud Detection

1st Assistant Prof. Vijayalaxmi C Kalal Department of Electronics and Communication

KLS Vishwanathrao Deshpande Institute of Technology

Haliyal, India vck@klsvdit.edu.in

4th Ms. Kavita M Hooli Department of Electronics and Communication

KLS Vishwanathrao Deshpande Institute of Technology

Haliyal, India kavitamhooli@gmail.com

2nd Ms. Anagha V Joshi Department of Electronics and Communication

KLS Vishwanathrao Deshpande Institute of Technology

Haliyal, India joshianagha2003@gmail.com

5th Mr. Shivaprasad S Naragund Department of Electronics and Communication

KLS Vishwanathrao Deshpande Institute of Technology

Haliyal, India naragundshivaprasad844@gmail.com

3rd Ms. Anushree B Guddadamath Department of Electronics and Communication

KLS Vishwanathrao Deshpande Institute of Technology

Haliyal, India anushreebg2002@gmail.com

Abstract —This project is all about finding credit card fraud using machine learning. Credit card fraud is been increasing a lot nowadays, With the criminals using fake tricks and identities in order to steal money So, It is very important to find a way to stop these frauds. Our project majorly carries out at finding illegal activities. As criminals change their mind and methods often, it’s very hard to catch them easier. First, the system starts collecting the data on how these credit cards are used and trains a model using algorithm like Random Forest and Decision Tree. Then, it checks new data to see whether any fraud is happening. Thereby our project gives graphs to show the results and the Random forest model gives the best accuracy.

Keywords—Random Forest Algorithm, Community Support, Criminal Transactions, Credit Card, Integrating AI Assistant