About Atmosphere
Overview
Atmosphere is a comprehensive environmental health monitoring dashboard that provides real-time insights into air quality, UV exposure, and pollen levels across the globe. Built with modern web technologies and designed with a beautiful, intuitive interface, it helps users make informed decisions about their outdoor activities.
Sample AQI Trends
Technical Stack
Custom ML Model
TensorFlow Architecture
Our custom TensorFlow model utilizes a deep neural network architecture specifically designed for environmental data processing. The model incorporates:
- • Multiple LSTM layers for temporal pattern recognition
- • Spatial convolution layers for geographic feature extraction
- • Attention mechanisms for focusing on critical data points
- • Custom loss functions optimized for AQI prediction
Model Performance
Training Dataset
Trained on over 20 years of EPA data (2000-2023), including:
- • 50+ million air quality measurements
- • Geographic data from 3,000+ monitoring stations
- • Weather patterns and seasonal variations
- • Pollution source mapping
Pollen Forecasting
Google Pollen API Integration
We leverage Google's advanced pollen forecasting system to provide accurate predictions for:
- • Tree pollen levels
- • Grass pollen concentrations
- • Weed pollen forecasts
- • Regional allergen patterns
Key Features
Environmental Monitoring
- • Real-time AQI measurements
- • Detailed pollutant breakdowns
- • Historical AQI data
- • Region-specific standards (US EPA / UAQI)
Predictive Analytics
- • Custom ML model for AQI forecasting
- • Deep neural network architecture
- • Fire risk assessment
- • Pollen forecasting
Interactive Features
- • Beautiful hybrid satellite/terrain view
- • Global coverage with street-level data
- • Integrated Street View exploration
- • Air quality heatmap overlay
Data Sources
Atmosphere aggregates data from multiple reliable sources to provide accurate environmental information:
- • Google Air Quality API for real-time air quality data and heatmap tiles
- • OpenUV API for UV index data and safe exposure times
- • Google Pollen API for pollen forecasts and additional weather metrics
- • EPA historical data for model training and validation
- • Custom ML predictions for long-term forecasting