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).

A high-throughput, event-driven microservices architecture for detecting financial fraud patterns in real-time.

⚡ Real-time fraud & anomaly detection system for streaming transactions. Built with Kafka Streams + Isolation Forest ML. Low-latency processing, online learning, and scalable architecture for detecting fraud patterns in transaction data. 🚨🔍

Java bindings for Castle

Java SDK for Fingerprint Pro Server API

Multi-agent AI fraud detection with Kafka streaming intelligence, makes decision smarter than tradititonal transaction analysis.

RMA processing and return disposition management with fraud detection

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.

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.

Face Recognition, Face Liveness Detection, Face Anti-Spoofing, Face Detection, Face Landmarks, Face Compare, Face Matching, Face Pose, Face Expression, Face Attributes, Face Templates Extraction, Face Landmarks

3D passive face liveness detection, face anti-spoofing, face fraudulent check, face liveness check, face spoof detection, face fraud detection and face analysis on Android.

Credit Card Fraudulent Detection with Random Forest

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.

Liveness detection SDK Android - iBeta level 2 compliant 3D passive liveness detection engine which can detect printed photos, video replay, 3D masks, and deepfake threats

🏦 Complete internet banking platform: account management, transactions, bill payments & fraud detection. Built with Spring microservices.

Java-Angular based claim tracking website

Fraudulent Transaction detection

A Spring-Boot-Kafka-Streams app to process and detect fraudulent transactions based on set criteria.

A Java module enables user to easily implement fraud detection feature into their solution using the API from

Containing all the coding projects and assignments I've completed in COS 226 @ Princeton (Data Structures & Algorithms)