Our project is an IoT-empowered front-end mobile and desktop application integrated with a conventional machine learning model to detect and predict defined air quality parameters (PM1, PM2.5, PM20 and etc.) in order to help individuals, communities and necessary authorities to TAKE ACTION against the deterioration of the air quality.

The IoT based system is comprised of three crucial blocks: the node-red framework (including the dashboard interface), the communication between the node-red framework and node-mcu (through MQTT) and the mobile client (which is accessible via a web portal and a mobile application).

We believe that this system has more room for improvements and this will facilitate a wide array of applications, especially in health and environmental domains.