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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM63576
Volume:
10 |
5 |
May 2026
Pages:
1-6
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Master of Computer Applications
Bapuji Institute of Engineering and Technology
Master of Computer Applications
Bapuji Institute of Engineering and Technology
In today’s digital world most people use online banking mobile wallets and credit cards to make financial transactions. they have also increased scams. Detecting such fraudulent transactions quickly is very important to protect customers and financial institutions from loss. This project “AI for Fraud Detection in Financial Transactions” aims to develop to automatically activities and generate the reports and recommendation to overcome from the frauds analyses large sets of transaction data and identifies unusual For example if a customer suddenly makes a large purchase in a new location odd time the system can recognize it as suspicious and alert the bank immediately. The project is designed with three main components: an API and Server Layer for processing real-time fraud detection. The AI is using past transaction data so it can learn the difference between normal and fraudulent transactions.
KEYWORDS
It is an effective remedy offered by an AI- based fraud prevention system in relation to financial transaction fraud detection in the real -time environment. As a measure of identifying the irregular trends that could attract the attention of fraud in the transaction additionally the system considers a massive quantity of highly valuable data in the transaction. Experimental results shows that the model achieves an accuracy of approximately 90%–95%.
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Publication Date
5/22/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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