MeteoHealth
Personal assistant for tracking weather impact on health with machine learning
Screenshots
Features
- Personalized well-being forecasts for 24 and 72 hours ahead
- On-device machine learning for correlation analysis
- Quick mood recording with simple interface
- Detailed analytics with graphs for different periods
- Comfort index based on temperature, humidity and pressure
- Background weather data updates every 30 minutes
- CloudKit synchronization across all devices
Tech Stack
Programming Language
Framework
Database
Cloud
Machine Learning
API
About the Project
MeteoHealth is a personal assistant for people with weather sensitivity and those who want to better understand weather's impact on their well-being. The app uses machine learning to create individual forecasts based on your personal data.
Who Is This App For
Weather-Sensitive People
If weather affects your well-being - headaches with pressure changes, fatigue on cloudy days or energy on sunny days - this app is for you.
People with Chronic Conditions
Many conditions worsen in certain weather conditions. MeteoHealth helps track these patterns and plan prevention.
Athletes and Active People
Learn in what weather your performance is maximum and plan workouts considering weather impact.
Simply Curious
Even if you don't consider yourself weather-sensitive, data analysis can show unexpected correlations between weather and your condition.
Key Features
Intelligent Forecasts
ML model learns from your data:
- Analyzes well-being record history
- Matches them with weather conditions
- Predicts your condition for 24 and 72 hours ahead
- Considers individual characteristics
Quick Mood Recording
Minimalist interface for daily notes:
- Overall well-being rating (1-5)
- Quick symptom selection
- Optional notes
- 10-second recording
Deep Analytics
Data visualization with charts:
- Correlations between weather and mood
- Trends for week, month, year
- Critical weather factor identification
- Symptom statistics
Comfort Index
Custom metric considering:
- Air temperature
- Atmospheric pressure
- Humidity
- Wind speed
- Cloud cover
Technical Features
On-Device Machine Learning
Core ML usage provides:
- Model training without sending data to server
- Real-time fast predictions
- Maximum privacy
- Offline operation
WeatherKit Integration
Apple's official weather API provides:
- Accurate hourly forecasts
- Air quality data
- Precipitation information
- Weather phenomenon warnings
CloudKit Synchronization
All your data available on all devices:
- iPhone
- iPad
- Mac (future)
- Automatic synchronization
- End-to-end encryption
Background Updates
The app automatically:
- Gets fresh weather data every 30 minutes
- Updates well-being forecasts
- Sends notifications about critical changes
- Minimizes battery consumption
Design and UX
Modern Interface
The app is designed in turquoise tones:
- Clean and minimalist design
- Intuitive navigation
- Quick access to main features
- Adaptive components
Dark Theme
Full Dark Mode support for comfortable use at any time of day.
Privacy
Your data is your business:
- All data stored locally or in your iCloud
- No third-party analytics
- No ads
- Minimal permissions
Development Status
The app is in open beta testing. Join via TestFlight and help make it better!
What Already Works
- ✅ Mood and symptom recording
- ✅ WeatherKit integration
- ✅ ML forecasts for 24/72 hours
- ✅ Charts and analytics
- ✅ CloudKit synchronization
- ✅ Background updates
In Development
- 🔄 HealthKit integration
- 🔄 Apple Watch app
- 🔄 Home screen widgets
- 🔄 Data export
- 🔄 Additional ML models
Future Features
Planned additions:
- Lifestyle recommendations
- Medication reminders on critical days
- Social feature for comparing with other users (anonymous)
- Integration with smartwatches from other manufacturers
- Voice notes about well-being
- AI assistant for data interpretation
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