### Added - **On-Device Machine Learning**: Personalized weather predictions that learn automatically - **Instant Bootstrapping**: Uses existing pressure history to personalize immediately - **Adaptive Forecasting**: Combines 110-year-old Zambretti algorithm with modern ML - **Overnight Sampling**: Charging-aware background scheduling for better overnight coverage - **Diurnal Correction**: Removes natural daily pressure cycle for more accurate trend detection - **Storm Alerts**: Push notifications for rapid pressure drops and storm conditions - **Live Activities**: Dynamic Island and Lock Screen pressure display (iOS 16.1+) - **Flight Mode**: Cabin pressure tracking with altitude estimation ### Fixed - Background processing tasks now run properly overnight when charging ### How ML Works Pascal learns your local weather patterns automatically — no user action required: 1. **Instant bootstrap** — Seeds model with Zambretti archetypes on first launch 2. **History training** — Walks through existing pressure data to create observations 3. **Auto-evaluation** — After 6 hours, Pascal checks what actually happened 4. **Kernel likelihood** — Similar past conditions inform future predictions **Result:** If you have a week of pressure history, Pascal is personalized immediately. New users reach personalization after ~25 auto-evaluated predictions. All learning happens silently in the background. No feedback buttons needed.