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predictive-maintenance

Open industrial IoT platform for predictive maintenance: four sensor nodes, a FastAPI backend, Isolation Forest anomaly detection and a live Next.js dashboard. Reveal before failure.

End-to-end predictive maintenance ML pipeline for hydraulic systems with Streamlit app, XGBoost models, SHAP, and real-world sensor data.

https://hydraulic-monitoring.streamlit.app/

Supervised learning pipeline for rare event operational failure prediction, integrating leakage resistant preprocessing, class weighted modeling, precision recall threshold calibration, ROC AUC benchmarking, and permutation based feature importance to analyze production stress drivers.