AIr-wise

AI-Based Uncertainty-Aware Air Quality Assessment

AIr-wise enables uncertainty-aware air quality assessment by integrating forecast error modelling, probabilistic AQI estimation, and automated reporting into a unified AI-driven framework.

Mentors

Mark Parrington
Melanie Ades
Miha Razinger
Panagiotis Kountouris
Jonilda Kushta

Participants

Judongyang Zhou

Linfeng Li