Production-grade demand forecasting system with drift detection, automated retraining, and monitoring dashboard. Deployed on Kubernetes via Helm with CI/CD through GitHub Actions.
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Add data drift detection to drift check and margin override to retrain
1f10073View on GitHubPhase 11: Kubernetes Helm chart with all service templates and environment overrides
99d8da1View on GitHubPhase 10: Docker containers, compose stack, and local development scripts
77ab939View on GitHubPhase 9: React monitoring dashboard with forecast, drift, model, and system views
16be15bView on GitHubPhase 8: Retraining pipeline with champion-challenger promotion
4502c03View on GitHubPhase 7: Drift detection engine — PSI, KS, JS divergence, ADWIN, Page-Hinkley
cd964a0View on GitHubPhase 6: FastAPI serving layer with prediction, actuals, and monitoring endpoints
7516fe3View on GitHubPhase 5: Training pipeline with Optuna optimization and MLflow registry
b66cdadView on GitHubPhase 3: Feature engineering pipeline, evaluation metrics, and data validation
e29bf4cView on GitHubPhase 1: Project scaffold — config, logging, database, and test fixtures
8ac738fView on GitHub