| title: Engine Predictive Maintenance | |
| emoji: 🔧 | |
| colorFrom: blue | |
| colorTo: red | |
| sdk: docker | |
| app_file: src/app.py | |
| pinned: false | |
| # Engine Predictive Maintenance System | |
| Predictive maintenance application for engine failure classification using sensor data. | |
| ## Features | |
| - Real-time engine condition prediction | |
| - Interactive sensor visualizations | |
| - Model inference from trained Random Forest classifier | |
| - Modern Streamlit interface | |
| ## Usage | |
| Enter sensor values (RPM, pressures, temperatures) to get real-time predictions about engine health. | |
| ## Model | |
| Trained Random Forest model with hyperparameter tuning, deployed from Hugging Face Model Hub. | |