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Deep Gaussian Processes for Air Quality Inference

Machine Learning Project to predict the Air Quality Index

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

A ML project based on aqi data

Hackathon project for Mastek's Deep Blue season 6 on visualization of AQI and its components integrated with SARIMAX statistical model.

Air Quality Index Prediction Model with Python

Code for paper"ADNNet: Attention-based deep neural network for Air Quality Index prediction"

Predict the AQI of Indian cities using ML after lockdown using data from 2015-2020; data visualisation for different cities for different periods of time.

This project analyzes air quality data across regions to identify improvement areas, track trends, and classify similar regions using clustering. Leveraging PySpark, it processes sensor data, calculates Air Quality Index (AQI), and visualizes results with histograms and geographic maps to highlight areas with good air quality.

Predicting California county AQI levels with particulate, traffic, and wildfire data. Please refer to my notebook for more detailed information about the project.

This repository showcases my work on predicting the Air Quality Index (AQI) using tropospheric pollutants (CO, NO2, and O3) and AQI indices for CO, NO2, O3, and PM 2.5 values. Happy coding! 🚀

A third year BTech mini-project on predicting AQI using ML techniques

Repository containing the backend code used for writing a research paper on the prediction of AQI in Indian Cities

The air pollution web page offers users information on the Air Quality Index (AQI) of the world cities and the detailed measurement of each polluting substance used to measure AQI. Users can search by city name. Built with JavaScript, React, Redux, SCSS,

Tashkent AQI prediction app