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README.md

@@ -1,3 +1,27 @@
+---
+language: en
+tags:
+- machine-learning
+- classification
+- predictive-maintenance
+- engine-condition
+- scikit-learn
+license: apache-2.0
+datasets:
+- dhani10/engine-condition-dataset
+---
+
 # Engine Condition Model
 
-This is a CI-built model artifact for demo/testing.
+This repository hosts a scikit-learn pipeline for predicting engine condition (0=Normal, 1=Faulty) from six sensor readings:
+
+- `Engine rpm`
+- `Lub oil pressure`
+- `Fuel pressure`
+- `Coolant pressure`
+- `lub oil temp`
+- `Coolant temp`
+
+**Default artifact path expected by apps:** `best_engine_model.joblib`
+
+> Note: If you see this message and you're just testing the deployment flow, the model may be a small placeholder trained on synthetic data so the app can run end-to-end.