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| title: Getaround Pricing API | |
| emoji: 🚗 | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: docker | |
| app_port: 7860 | |
| # Getaround Pricing API | |
| This API predicts the optimal daily rental price for a car based on its features. | |
| ## Endpoints | |
| ### GET / | |
| Check if the API is running. | |
| ### GET /health | |
| Returns API status and model loading state. | |
| ### POST /predict | |
| Predict rental price. | |
| ### Example input | |
| { | |
| "input": [ | |
| { | |
| "model_key": "Citroën", | |
| "mileage": 140000, | |
| "engine_power": 100, | |
| "fuel": "diesel", | |
| "paint_color": "black", | |
| "car_type": "sedan", | |
| "private_parking_available": true, | |
| "has_gps": false, | |
| "has_air_conditioning": true, | |
| "automatic_car": false, | |
| "has_getaround_connect": false, | |
| "has_speed_regulator": true, | |
| "winter_tires": false | |
| } | |
| ] | |
| } | |
| ### Example output | |
| { | |
| "prediction": [120.5] | |
| } | |
| ## Model | |
| - Random Forest Regressor | |
| - Preprocessing: StandardScaler + OneHotEncoder (Pipeline) | |
| - Trained on Getaround dataset | |
| ## Tech Stack | |
| - FastAPI | |
| - Scikit-learn | |
| - Pandas | |
| - Joblib | |
| ## Documentation | |
| Interactive API documentation available at: | |
| /docs |