Speakers
Description
The AirFlow app uses advanced machine learning algorithms to show and predict the air quality in multiple locations in Romania. AirFlow provides users with accurate measurements about the quality of the air they breathe in locations across Romania using an intuitive and easy-to-use visual interface.
Airflow's primary aim is to furnish users with accurate air quality predictions, accessible through an interactive map encompassing nationwide locations in Romania. These forecasts rely on data gathered by the Copernicus Sentinel5P satellite, ensuring utmost precision.
Apart from just overseeing air quality, the objective of this project is to promote awareness and inspire efforts toward achieving cleaner air. Airflow strives to empower individuals by furnishing up-to-date air quality statistics, enabling them to make informed choices regarding their health and overall well-being.
The application leverages advanced technologies such as NextJS in conjunction with Material-UI for the frontend. It utilizes a Golang Gin API to connect to a MongoDB database, and Python is employed for data processing as well as implementing machine learning algorithms.
Overall, AirFlow is an application that will be useful for many people that want to be informed about air quality in Romania or people that have respiratory issues and need to have medication taken in case of poluted air. With its accurate forecasts and user friendly interface, this application makes it easy to have the needed information related to air quality and what measures needs to be taken.
