• Mr.G.Pavan
• S.Sateesh Reddy
• N.Sri Dhatri
• MD.Sanjidha
• K.Somasekhar

The paper largely concentrates on determining actual credit card theft. Due to the phenomenal increase in credit card usage, there has been a substantial boost in counterfeit activity in recent years. The intention is to take something or to make a withdrawal without paying for it funds without permission from a source. All credit card issuing institutions must now put in place to robust fraud detection technologies in a bid to reduce their liabilities. Among the main challenges for the company is the need both the card and the cardholder are not must being there during the transaction. Due of this, it is difficult for the retailer to confirm that the person using a transaction is truly the customer. Using the suggested plan and the SVM technique, With the suggested method and the SVM algorithm, it is possible to improve fraud detection's precision. Analysis of the user's current dataset and the data set under classification is done by the SVM method. Finalize the accuracy of the outcome data. On the basis of a technique's accuracy, sensitivity, specificity, and precision, its effectiveness is determined. Following the some of the processing of the required characteristics, fraud prevention is discovered, and an information visualization portrayal is offered. On the basisof a method's accuracy, sensitivity, specificity, and precision, its effectiveness is evaluated.

"CREDIT CARD FRAUD DETECTION USING SVM ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 3, page no.f519-f527, March-2023, Available :http://www.jetir.org/papers/JETIR2303567.pdf

"CREDIT CARD FRAUD DETECTION USING SVM ALGORITHM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 3, page no. ppf519-f527, March-2023, Available at : http://www.jetir.org/papers/JETIR2303567.pdf