An open-source Python package to easily obtain real-time, historical, or forecasted air quality data for anywhere in the world. Reliable, accurate and simple.
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Updated
Mar 18, 2024 - Python
An open-source Python package to easily obtain real-time, historical, or forecasted air quality data for anywhere in the world. Reliable, accurate and simple.
Webapp to predict the Air Quality Index of a region given climate conditions.
In this project we are comparing various regression models to find which model works better for predicting the AQI (Air Quality Index).
aqi-react is a project created to know the Air Quality Index of various parts of the world. How about a ⭐️?
Detects PM2.5 levels based on daily atmospheric conditions
Machine Learning Project to predict the Air Quality Index
Ruby client library for the World Air Quality Index (WAQI) APIs
Data visualizer + AQI calculator for CSV-files provided by SaveEcoBot
An IoT-powered system for real-time air quality monitoring and analysis. This project integrates environmental sensors with a machine learning model to predict and assess air quality indices. Features include data visualization, predictive analytics, and automated alerts for actionable insights.
A collection of CircuitPython helpers used for the calculation of PM2.5 and CO2 air quality levels.
The project analysed the Air Quality Data for several cities in India over a time period. A dashboard was created using the "Shiny" package in R to display the results.
The study analyses the AQI and predicts before and after lockdown of COVID-19 in India.
This is a simple app that shows the air quality index of a city. The data is fetched from AirVisual API. Created using Flutter
This GitHub repository hosts data and tools for monitoring air quality in Brazil. It aims to support research and public awareness on air pollution trends and solutions.
Reads PurpleAir devices for measuring AQI and exports data for Prometheus consumption
Hey 👋, This repository is for trying to understand Air Quality Index around the world. This is my take at understanding factors that affect air quality around the world.
In this Research Project, we build a ML model that predicts AQI(Air Quality Index) level in Bangladesh using supervised machine learning algorithms.
Modern weather app with real-time data, 5-day forecast, air quality index, and responsive design.
Analyzing New York City Air Quality (2018-2022)
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