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  Published Paper Details:

  Paper Title

Sentinel AI: Next-Generation Fraud Detection System

  Authors

  Rutvik Dnyanoba Patil,  Suraj Jotiram Shinde,  Prof. Tushar Waykole

  Keywords

credit card fraud, fraudulent activities, SVM (SUPPORT VECTOR MACHINE), Harr cascade Algorithm, Face Recognition.

  Abstract


Nowadays the Mastercard blackmail is the best issue and by and by there is need to fight against the Visa deception. "Visa blackmail is the most well-known approach to cleaning untidy money, likewise making the wellspring of resources at this point not conspicuous." On steady timetable, the financial trades are made on tremendous aggregate in overall market and hence recognizing charge card distortion development is trying undertaking. As earlier (Against Mastercard blackmail Suite) is familiar with separate the questionable activities yet it is significant simply on individual trade not for other monetary equilibrium trade. To Vanquishes issues of we propose artificial intelligence method using 'Hidden Closeness', to perceive typical acknowledges and lead for other monetary equilibrium trade. Area of charge card distortion trade from gigantic volume dataset is irksome, so we propose case decline procedures to decreases the data dataset and a while later find sets of trade with other monetary offset with ordinary credits and lead.

  IJCRT's Publication Details

  Unique Identification Number - IJCRTAF02094

  Paper ID - 260930

  Page Number(s) - 471-475

  Pubished in - Volume 12 | Issue 5 | May 2024

  DOI (Digital Object Identifier) -   

  Publisher Name - IJCRT | www.ijcrt.org | ISSN : 2320-2882

  E-ISSN Number - 2320-2882

  Cite this article

  Rutvik Dnyanoba Patil,  Suraj Jotiram Shinde,  Prof. Tushar Waykole,   "Sentinel AI: Next-Generation Fraud Detection System", International Journal of Creative Research Thoughts (IJCRT), ISSN:2320-2882, Volume.12, Issue 5, pp.471-475, May 2024, Available at :http://www.ijcrt.org/papers/IJCRTAF02094.pdf

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ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
ISSN and 7.97 Impact Factor Details


ISSN
ISSN
ISSN: 2320-2882
Impact Factor: 7.97 and ISSN APPROVED
Journal Starting Year (ESTD) : 2013
ISSN
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