payguard-poc

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3 Commits

Include renames

Author	SHA1	Message	Date
John Patrick TeruelandCopilot	d4751b9061	Update documentation - consumer now in Docker - README: 3 steps → 2 steps (no manual consumer startup needed) - DEMO: Updated quick start to use 'docker compose logs -f consumer' - Updated references from 'Consumer Terminal' to 'consumer logs' - Clarified that entire system runs via 'docker compose up -d' Co-authored-by: Copilot <[email protected]>	2026-04-24 22:03:36 +08:00
John Patrick TeruelandCopilot	529914dd60	Add quickstart instructions to README top - 3-step quick start (5 minutes) at the very top - Links to detailed documentation (DEMO, EXPLAIN, QUICKSTART) - Clear copy-paste commands for immediate getting started - Emoji visual hierarchy for quick scanning Co-authored-by: Copilot <[email protected]>	2026-04-24 21:43:45 +08:00
John Patrick TeruelandCopilot	aa4dd497e2	Initial PayGuard fraud detection system implementation - Complete dual-layer architecture for fraud detection - Phase 1: Docker Compose infrastructure (Kafka, Zookeeper, Redis) - Phase 2: Mock ML models (Layer 1 fast, Layer 2 deep) - Phase 3: FastAPI transaction ingestion with JWT auth - Phase 4: Kafka consumer pipeline with feature extraction - Phase 5: Test transaction producer with demo scenarios - Phase 6: Clean code structure and comprehensive documentation - Phase 7: End-to-end validation and demo readiness Demonstrates key system design patterns: - Microservices architecture with decoupled components - Asynchronous event processing via Kafka - Tiered decision-making (fast path vs deep analysis) - Resilience patterns (circuit breaker for graceful degradation) - Behavioral profiling with Redis caching Ready for academic demonstration with clear pipeline observability. Co-authored-by: Copilot <[email protected]>	2026-04-24 19:47:18 +08:00

Author

SHA1

Message

Date

John Patrick TeruelandCopilot

d4751b9061

Update documentation - consumer now in Docker

- README: 3 steps → 2 steps (no manual consumer startup needed)
- DEMO: Updated quick start to use 'docker compose logs -f consumer'
- Updated references from 'Consumer Terminal' to 'consumer logs'
- Clarified that entire system runs via 'docker compose up -d'

Co-authored-by: Copilot <[email protected]>

2026-04-24 22:03:36 +08:00

John Patrick TeruelandCopilot

529914dd60

Add quickstart instructions to README top

- 3-step quick start (5 minutes) at the very top
- Links to detailed documentation (DEMO, EXPLAIN, QUICKSTART)
- Clear copy-paste commands for immediate getting started
- Emoji visual hierarchy for quick scanning

Co-authored-by: Copilot <[email protected]>

2026-04-24 21:43:45 +08:00

John Patrick TeruelandCopilot

aa4dd497e2

Initial PayGuard fraud detection system implementation

- Complete dual-layer architecture for fraud detection
- Phase 1: Docker Compose infrastructure (Kafka, Zookeeper, Redis)
- Phase 2: Mock ML models (Layer 1 fast, Layer 2 deep)
- Phase 3: FastAPI transaction ingestion with JWT auth
- Phase 4: Kafka consumer pipeline with feature extraction
- Phase 5: Test transaction producer with demo scenarios
- Phase 6: Clean code structure and comprehensive documentation
- Phase 7: End-to-end validation and demo readiness

Demonstrates key system design patterns:
- Microservices architecture with decoupled components
- Asynchronous event processing via Kafka
- Tiered decision-making (fast path vs deep analysis)
- Resilience patterns (circuit breaker for graceful degradation)
- Behavioral profiling with Redis caching

Ready for academic demonstration with clear pipeline observability.

Co-authored-by: Copilot <[email protected]>

2026-04-24 19:47:18 +08:00