John Patrick TeruelandCopilot
aa4dd497e2
- 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]>
9 lines
161 B
Plaintext
9 lines
161 B
Plaintext
fastapi==0.104.1
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uvicorn[standard]==0.24.0
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python-jose[cryptography]==3.3.0
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kafka-python==2.0.2
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redis==5.0.0
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pybreaker==1.4.0
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python-dotenv==1.0.0
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numpy==1.24.3
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