• Sheetal Nirve
• Prajakta More
• Pratiksha Kanje
• Riya Wagh
• Abhijeet Chakane

The widespread use of credit cards has led to more cases of fraud. Credit cards have made online shopping and electronic payments easier, but they've also made it easier for fraudsters to steal money. To combat this, we're using computer programs called machine learning to find and stop fraud. These programs are good at analyzing information about customers. Credit card fraud has been increasing in recent years, causing financial problems for cardholders, merchants, and banks. This review paper looks at different ways to detect fraud using machine learning and compares them by how well they work. The paper suggests a new system that uses a method called supervised Random Forest to improve the accuracy of detecting credit card fraud.

Credit card frauds, Machine Learning, Random Forest Algorithm, Artificial Neural Network(ANN)

"Credit Card Fraud Detection Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 2, page no.d616-d619, February-2024, Available :http://www.jetir.org/papers/JETIR2402374.pdf

"Credit Card Fraud Detection Using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 2, page no. ppd616-d619, February-2024, Available at : http://www.jetir.org/papers/JETIR2402374.pdf