--- title: Phoebe Bioweather API v2 emoji: 🌤️ colorFrom: blue colorTo: green sdk: docker pinned: false license: mit app_port: 7860 --- # 🌤️ Phoebe Bioweather API v2.0 **Weather-driven headache risk scoring** for the [Phoebe](https://empedoclabs.com) iOS app by **EmpedocLabs**. ## What It Does Takes 7 weather parameters → returns a 0-100 risk score, one of 15 biometeo conditions, and personalized actionable advice with 3 severity tiers. ## Endpoints | Method | Path | Description | |---|---|---| | `GET` | `/` | Status | | `GET` | `/health` | Model health | | `POST` | `/predict` | Risk score + condition + actions | ## Request ```json { "temp_c": 28.5, "pressure_hpa": 1005.3, "humidity": 88, "wind_kph": 12, "uv_index": 7, "pressure_drop": -7.2, "temp_change": 3.5 } ``` ## Response ```json { "risk_score": 72, "risk_level": "High", "condition": { "id": 1, "title": "Rapid Pressure Drop", "emoji": "📉", "text": "A sharp pressure drop is one of today's main headache drivers...", "actions": [ "Reduce stimulation for the next few hours...", "Lower sensory load: dim lights, shorter screen blocks...", "Keep hydration steady and avoid skipped meals." ] } } ``` ## 15 Biometeo Conditions | ID | Condition | Primary Trigger | |---|---|---| | 0 | Clear Skies | No weather trigger | | 1 | Rapid Pressure Drop | Barometric drop > 5 hPa | | 2 | Pressure Squeeze | Barometric rise > 5 hPa | | 3 | Sauna Effect | Heat + humidity | | 4 | High Wind | Wind > 35 km/h | | 5 | High UV Glare | UV index ≥ 7 | | 6 | Bitter Cold | Temperature < 0°C | | 7 | Drastic Temp Drop | 24h temp change < -7°C | | 8 | Heat Shock | 24h temp change > +7°C | | 9 | Heavy Dampness | Humidity > 88% + calm | | 10 | Mild Barometric Dip | Pressure drop 2-5 hPa | | 11 | Mild Pressure Squeeze | Pressure rise 2-5 hPa | | 12 | Breezy Pollen Risk | Moderate wind + warm | | 13 | Dry Air Warning | Humidity < 30% | | 14 | Stagnant & Gloomy | Low UV + high humidity + calm | ## Model Details - Risk regressor: HistGradientBoosting, MAE=2.52, R²=0.977 - Advice classifier: HistGradientBoosting, Accuracy=98.6%, F1=0.971 - Rule-based coherence layer ensures physically-impossible outputs never reach the user