FraudTrack AI: Real-Time E-commerce Transaction Monitoring

Mr. M Bhanuprakash

Assistant ProfessorDepartment of AIDSAnnamacharya Institute of Technology and Sciences  Tirupati-517520,

mmbaluprakash@gmail.com

J Charan

UG Scholar Department of AIDS Annamacharya Institute of Technology and Sciences Tirupati-517520 A.P. charanjambugolam@gmail.com

M Gnapika

UG Scholar, Department of AIDS Annamacharya Institute of Technology and Sciences, Tirupati-517520, A.P. gnapikareddy08@gmail.com

R Adikeshava reddy

UG Scholar, Department ofAIDS Annamacharya Institute of Technology and Sciences, Tirupati-517520, adikeshavareddyrajula@gmail.com
P Lohitha

UG Scholar, Department of AIDS Annamacharya Institute of Technology and Sciences, Tirupati-517520, A.P. lohithapothireddy@gmail.com

Abstract- The paper aims to discuss how the generative artificial intelligence models, such as GANs, VAEs, and their combination, could be utilized for the improvement of real-time fraud detection in the field of e-commerce. Due to the rapid development of online transactions, the detection of fraudulent activities has become a sophisticated issue