* **Critical ML Deployment Flaw:** The system uses `joblib.load` incorrectly; Keras models require `tf.keras.models.load_model` to function. * **Severe Security Risk:** Email credentials are hardcoded directly, demanding immediate migration to environment variables for secure operation. * **Inconsistent Data Scaling:** The inference script fails to apply crucial normalization used during training, guaranteeing inaccurate predictions. * **Embedded Monolith:** Code lacks modularity; refactor hardware interaction, inference, and alerting into separate, testable components.
Detailed description is only visible to project members.