A UI tool to review potentially fraudulent transactions and perform operations on them
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Updated
Dec 20, 2023 - JavaScript
A UI tool to review potentially fraudulent transactions and perform operations on them
PoC - Used to scan video files for malicious content based on keywords
It is important that credit card companies are able to recognize fraudulent credit card transactions so that customers are not charged for items that they did not purchase. Here you will find the easiest method for detection of fraud credit card.
The central concept involves employing graphs, Java, and Neo4j to identify anomalies in banking transactions.
Magento 2 Subuno Fraud Prevention Module detects risky purchases and sends all data back to Magento.
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API em Node.js para verificar fraudes em transações em e-commerce.
Detecting fraud in real-time using machine learning and data analysis. Web app for ease of use.
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Build predictive models on highly skewed data by selecting an example of fraudulent transactions in the financial institutions🚀
Fraudulent websites detector built with nonparametric models
Sift (fraud detection) integration with Magento 2
This project serves as a simplified illustration of the principles underpinning anti-fraud systems within the financial sector. In this endeavor, we focus on a system featuring an enhanced role model, a suite of REST endpoints responsible for user interaction, and an internal transaction validation logic grounded in a set of heuristic rules.
Official Flutter package for Greip API
Аналитическое исследование фродстерного поведения пользователей интернет-сервисов и магазинов
Predictive modeling projects developed during the Risk & Fraud Analytics course (Master in Business Analytics & Big Data) at IE HST.
Utilize autoencoders for anomaly detection and customer credit risk evaluation
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