Institution:
AirQuads is designed as a “personal exposure & city-scale insight” platform: citizens get cleaner air through an active air quality filtration device while operators, municipalities and urban planners gain a real-time, hyper-local pollution dataset that sharpens health-risk analytics and policy decisions.
Each device streams geotagged pollutant data (NO₂, PM, etc.) that can densify sparse monitoring networks and feed machine-learning models that predict street-level exposure—vital for health-agencies, insurers and smart-city planners which is aligned with the HPC trend of AI/ML-driven knowledge extraction & decision support.
