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All project ideas

Expert · 5–6 weeks

Fraud Detection with Rules + ML Hybrid

Real-time transaction scoring: rule engine (velocity, geo mismatch) + ML model score (Drools + exported model or external API). Explainable decline reasons and analyst review queue.

Why this project

Shows AI beyond chatbots — hybrid systems are how fraud actually works in banks and fintech.

Tech stack

Java 17Spring Boot 3DroolsPython ML model via API or DJLKafkaRedis

Skills demonstrated

  • Rules engine
  • ML integration
  • Real-time scoring
  • Explainability

Interview talking points

  • Rules vs ML division
  • Feature engineering examples
  • Explainability for analysts
  • Handling model drift

Problem statement

Real-time transaction scoring: rule engine (velocity, geo mismatch) + ML model score (Drools + exported model or external API). Explainable decline reasons and analyst review queue.