




IAQIA3 Project: Real-time Indoor Air Quality Prediction with AI (Cintecx, UVigo)
Predicts indoor air quality in real time
(+2)
This project is highly innovative as it leverages Artificial Intelligence for dynamic, 3D, and real-time modeling of indoor air quality, integrating with Building Management Systems. It addresses critical limitations of current systems by offering predictive capabilities and a three-dimensional representation of environmental quality parameters, helping detect ventilation inefficiencies and adapt to building usage changes.




