Air Quality Analysis and Prediction Using Machine Learning
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Updated
Jul 30, 2024 - CSS
Air Quality Analysis and Prediction Using Machine Learning
WeeWx extension for ingesting data from AirGradient indoor and outdoor air quality monitors.
Handle Air Quality Data from the European Environmental Agency Data Portal
Collection of ESP8266-based sensors using MQTT to collect data
CanAirIO is a citizen science initiative. We are developing a mobile application that is able to set a PM2.5 or CO2 sensors, and other related sensors, as a fixed station using WiFi or mobile station with an smartphone by using a Bluetooth connection.
Texting service to receive current air quality conditions and maps, powered by AirNow, Twilio, and AWS
A tool for analysis of air quality data, measured by low cost sensors
AQStat is a command line Python tool for visualizing air quality data collected under the luftdaten.info project.
A python package to use the Luchtmeetnet 2020 OpenAPI.
Click below to checkout the website
{ggplot2} incarnation of {openair} ☁️
OpenAQ Explorer web application
BC ENV Air Quality Monitoring Data
Using Air Gradient DIY kits and EspHome, with some additional sensors added in (TVOC and Pressure)
AireLibre is a community response to the need to know about air quality in a free, collaborative and decentralized way.
ELTL pipeline to monitor air quality in the Paris Île-de-France area
A near real time Air Quality Indicator for India, made with ❤️
Clean Air Tracker is a website that utilizes the AirKorea OpenAPI from the Korea Environment Corporation to provide real-time air quality information, including particulate matter, fine particulate matter, and ozone. built with Express, TypeScript, Svelte, PostgreSQL, and TypeORM.
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