Fraudulent Transaction detection
Real-time fraud detection system for financial transactions using Change Data Capture (CDC), Apache Kafka, Debezium, MySQL, and Spring Boot. Monitors user activity across locations to identify suspicious patterns and block fraudulent accounts.
RMA processing and return disposition management with fraud detection
Containing all the coding projects and assignments I've completed in COS 226 @ Princeton (Data Structures & Algorithms)
Application Java de gestion et analyse des transactions bancaires avec détection automatique d'anomalies. Architecture en couches utilisant Java 17, programmation fonctionnelle (Stream API), et persistance JDBC.
An anti-fraud program that I didn't finish. May be some day :p
FinLab Fraud Shield is a high-performance Spring Boot service built for the Fibank FinLab Hackathon. It validates and scores invoice transactions in under 200 ms. Secure authentication, explainable decisions and scalable microservices make it ideal for real-time fraud detection.
Sample code for using and executing the TigerGraph JDBC Driver for a Fraud Detection Graph
A lightweight Java console application that simulates banking transactions and detects fraud using a modular rule engine and risk scoring. Built with clean OOP design and pluggable rules (High Amount, Velocity, Blacklist).
Credit Card Fraud Detection Hackathon
A high-throughput, event-driven microservices architecture for detecting financial fraud patterns in real-time.
Java-Angular based claim tracking website
implementation of distributed scenario to real time fraud detection on payment transactions
🏦 Complete internet banking platform: account management, transactions, bill payments & fraud detection. Built with Spring microservices.
The central concept involves employing graphs, Java, and Neo4j to identify anomalies in banking transactions.
Multi-agent AI fraud detection with Kafka streaming intelligence, makes decision smarter than tradititonal transaction analysis.
A Spring-Boot-Kafka-Streams app to process and detect fraudulent transactions based on set criteria.
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