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title: Engine Predictive Maintenance App |
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emoji: "🛠️" |
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colorFrom: purple |
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colorTo: pink |
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sdk: docker |
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pinned: false |
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--- |
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# 🛠️ Smart Engine Predictive Maintenance App |
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This interactive Streamlit application predicts whether an engine is likely to be **Faulty (1)** or **Normal (0)** using real-time sensor readings. |
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It is designed to support **preventive maintenance decision-making** by identifying engines at higher risk of failure before breakdown occurs. |
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## ✅ Key Features |
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- **Single Engine Prediction** using manual sensor inputs |
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- **Probability-based output** for Faulty / Normal (where supported by the model) |
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- **Feature engineering built-in** (the app automatically computes engineered features to match the training schema) |
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- **Download engineered input row** as CSV for traceability |
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- **Bulk CSV Prediction** (upload a CSV and generate batch predictions) |
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- **Download bulk predictions** directly from the UI |
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## 🧠 Model Details |
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- **Algorithm:** Gradient Boosting Classifier |
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- **Training Data:** Engine sensor telemetry dataset |
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- **Target Variable:** `Engine Condition` |
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- `0 = Normal` |
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- `1 = Faulty` |
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**Reference Metrics (from model evaluation):** |
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- Recall (Faulty): ~0.84 |
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- ROC-AUC: ~0.70 |
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- PR-AUC: ~0.80 |
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## 🧾 Required Input Features (Single & Bulk) |
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Your CSV or manual inputs must include **only the raw sensor columns** below: |
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1. `Engine rpm` |
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2. `Lub oil pressure` |
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3. `Fuel pressure` |
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4. `Coolant pressure` |
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5. `lub oil temp` |
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6. `Coolant temp` |
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The app computes additional engineered features internally (ratios, indices, and warning flags) to align with the model training pipeline. |
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## 📦 Bulk Prediction Instructions |
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1. Upload a CSV file with the 6 required raw sensor columns listed above. |
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2. The app will generate: |
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- `Predicted_Class` (0/1) |
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- `Faulty_Probability` (if available) |
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3. Download the results using the provided **Download Bulk Predictions CSV** button. |
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## 🚀 Deployment |
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This Space uses a Docker-based deployment with Streamlit running on port **8501**. Hugging Face automatically maps ports during deployment. |
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## 🔗 Project Links |
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- **Model Hub:** `simnid/predictive-maintenance-model` |
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- **Dataset Hub:** `simnid/predictive-engine-maintenance-dataset` |
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- **GitHub Repository:** *(add your repo link here once finalized)* |
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