air-quality-index

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

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.

Real-time Air Quality Monitor with ESP32, PMS5003, SCD30 & ST7735 Display (CO2, PM1.0, PM2.5, PM10, IAQ, MQTT).

AQI 计算，以及分指数计算

Ruby client library for the World Air Quality Index (WAQI) APIs

A sophisticated, feature-rich weather network application built with Next.js 14, TypeScript, and Tailwind CSS. Features real-time weather data, 5-day forecasts, interactive Recharts analytics, and a stunning monochrome glassmorphism UI with GPU-accelerated WebGL Silk animations

Data visualizer + AQI calculator for CSV-files provided by SaveEcoBot

In this Research Project, we build a ML model that predicts AQI(Air Quality Index) level in Bangladesh using supervised machine learning algorithms.

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.

REST API for real-time air quality index (AQI) and pollutant data. Query by city name or GPS coordinates.

The study analyses the AQI and predicts before and after lockdown of COVID-19 in India.

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.

Analysis of air quality data to understand pollution trends and environmental impact.

Reads PurpleAir devices for measuring AQI and exports data for Prometheus consumption