Real-Time city Air Quality Monitoring using Python

By Aryan Singh

A project to fetch and display up-to-date air quality data for cities using APIs and Tkinter GUI.

The "Real-Time Air Quality Monitoring in Python" project aims to provide users with up-to-date air quality data for various cities. The project fetches real-time air quality information using external APIs, enabling users to monitor environmental conditions effortlessly. The user interface is built using Tkinter, a Python GUI library, making it user-friendly and accessible. To use the program, the user inputs the desired city and the specific air quality parameter they want to monitor, such as particulate matter (pm25) or nitrogen dioxide (no2).

Upon entering the city and parameter, the program fetches the latest air quality data available for that location. The result is then displayed in a tabular format within a graphical window, presenting essential information, including the location, parameter, value, unit, and time of measurement. If data is unavailable for the given city or parameter, the program gracefully informs the user about the absence of relevant data, allowing them to explore alternative locations or parameters for monitoring air quality in real time.