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| title: Predictive Maintenance | |
| emoji: 🔧 | |
| colorFrom: red | |
| colorTo: gray | |
| sdk: docker | |
| app_port: 7860 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Predictive Maintenance — Engine Health Monitor 🔧 | |
| An intelligent ML-powered system that monitors engine sensor data and predicts failure risk in real time. | |
| ## Features | |
| - **Real-time Predictions**: Instant engine health scoring | |
| - **Interactive Interface**: User-friendly Streamlit web application | |
| - **Multiple Algorithms**: Best model selected from 6 different algorithms | |
| - **MLOps Integration**: Complete pipeline with experiment tracking | |
| ## Technical Stack | |
| - **Backend**: Python, Scikit-learn, XGBoost | |
| - **Frontend**: Streamlit | |
| - **ML Tracking**: MLflow | |
| - **Deployment**: Docker, HuggingFace Spaces | |