🧑🏻‍💻 Built a Real-Time Transaction Fraud Detection System 🚀

I designed and deployed a real-time fraud detection system using Kafka Streams and Spring Boot to analyze live transaction streams and instantly flag suspicious activities.

https://fraud-analyzr.vercel.app/

🛠️ Tech Stack

Language: Java, Spring Boot

Streaming: Apache Kafka & Kafka Streams

Architecture: Event-Driven Architecture

Logic: Rule-based fraud detection (high amount, high velocity)

Containerization: Docker

Frontend: React (Live Monitoring Dashboard)

✨ Key Highlights

🔄 Real-time transaction ingestion: Seamlessly processing data as it flows.

🧠 Stream-based detection: Leveraging Kafka Streams for low-latency analysis.

🚨 Live fraud alerts: Instant visualization on a dedicated monitoring dashboard.

☁️ Scalable Architecture: Production-ready and cloud-deployed.

🧑🏻💻 Source Code ::

https://github.com/Me-Jitesh/FraudAnalyzr