AirSense Air Quality Analytics

Example Use Cases

• 1

  Multi-source aggregated air quality data with outlier trimming and reliable time-series storage.

• 2

  AI-powered time-series forecasting and comparative analytics across multiple cities.

• 3

  Natural-language query capabilities with secure, tiered access and explainable execution traces.

Description

AirSense aggregates PM2.5 and PM10 data from multiple sources, applies advanced analytics and AI forecasting using SARIMAX, and supports natural-language queries through an LLM-based planning agent. It offers tiered subscription plans with secure access controls and generates professional PDF reports. The system is designed for scalability, transparency, and responsible AI practices, making environmental data actionable and accessible.