Building a Real-Time AI Fraud Detection System with Spring Kafka and MongoDB

This tutorial explains the step-by-step process of building a real-time fraud detection system using Spring Kafka, MongoDB, and AI-generated embeddings. It covers setting up a MongoDB database and creating a vector search index to detect anomalies in transaction data. The guide also illustrates creating synthetic customer profiles and generating transactions to analyze historical patterns for potential fraud, along with optimizing performance strategies.