Mr Pramod Salunkhe
Engineering
September 2021
Financial fraud is a problem that has wide-ranging effects on the financial industry, the government, corporate sectors, and regular consumers. The problem has gotten worse recently as a result of our growing reliance on new innovations like cloud computing and portable processing. Financial fraud is a problem that has wide-ranging effects on the financial industry, the government, corporate sectors, and everyday consumers. Recent increases in reliance on new innovations like cloud computing and portable processing have made the problem worse. The consistency and sequential correctness of the information, as well as the timing of the feedback deliveries, affect how exact and accurate those systems are. One of these technologies, a fraud detection system, is the subject of this essay. Banks and financial institutions are investing more and more today in completing the calculations and information examination advancements used to differentiate and combat fraud in order to have a more precise and exact fraud detection system. In order to address this issue, various arrangements and calculations utilising AI have been suggested in writing. However, the focus of examination is on research. Few deep learning standards exist, and nobody seems to believe that the offered works consider the importance of a continuous methodology for problems of this nature. As a result, in order to address this problem, we suggest a live charge card fraud detection system based on deep learning technology.
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