A monitoring station for air quality based on Raspberry Pi

Get the pollution in real-time and decide if you will move on

About Home assistant component to get air quality for french cities

Command-line application providing some information about air quality in Poland. Tested using Mockito and JUnit

Perceive the noise pollution that surrounds you in a smart way

Analysis and data of beach-litter-surveys in Switzerland 2015-2021. Notebooks and maps for documenting and producing basic analysis of survey results.

A near real time Air Quality Indicator for India, made with ❤️

Viz project about pollution and cruise ships in Barcelona city before and after Covid-19.

💨A real-time worldwide pollution tracker built in ReactJS and JavaScript, using geolocation, Google Maps API and AirVisual API. This was the final project built for my General Assembly course.

“Project Polusi Kalimantan” is focused on analyzing and visualizing air pollution data, specifically PM2.5 levels, across various regions in Kalimantan, Indonesia. This project combines data analytics, machine learning, and interactive web technologies to provide detailed insights into air quality trends

Air pollution data scraping and analysis for Krakow, Poland

Aim of this project is analyse dataset of pollution and answer some of the questions.

This is a COVID-19 Air Pollution tracking program that looks at the correlation between COVID-19 Lockdowns and the overall pollution impact in certain European cities. The program utilses graphs and other visual stats to allow visual representations of significant or minimal difference in pollution levels with as a result to the on going pandemic.

The firmware of PM Control Unit, a device that measures weather conditions.

Works on Air Quality Indication Dataset collected by airQ to give deeper insight, written with ❤️ using Python

Impact of Air Pollution on our Lives during pre and post covid19.

Platform is an Arduino based tool to acquire, geolocate and save pollutants concentrations in a sd card.

A project to examine air quality trends in Salt Lake City, Utah.

Java desktop application to minimize CO2 emissions, aiding in environmental sustainability by providing tools for carbon footprint measurement and reduction strategies.

CodeGreen - ML code