Predicting PM10 air particles using recurrent neural networks (RNN, GRU, LSTM)

Using publicly available datasets, I created a Machine Learning model to better predict PM 2.5 pollutant levels using meteorological data (temperature, wind speed, relative humidity) and day and ti…

In this study, we propose an end-to-end deep learning model-RCL-Learning that integrates ResNet and ConvLSTM.

Forecasting air pollution using temporal attention mechanism in Beijing

This repository contains the notebooks used in my project "Air quality analysis and forecasting"

Data Analysis for the Real-time Air Quality Index of different monitoring stations across India is obtained by the API provided by the Ministry of Environment & Forests, India and Central Pollution…

Build an accurate fine-scale air quality prediction model

This project aims to analyze and predict the air quality index of various cities and states in India using machine learning. The dataset used in this project contains historical data of air quality…

a platform which provides users with the predicted Air Quality Index levels of air pollution for 39 cities of India with daily, monthly and yearly trends. It also provides some of the statistics o…

Environment Data Model

This problem statement focused on building machine learning models that would assist create city-level air pollution susceptibility maps with a 5-meter spatial resolution for milan city in Italy. T…

Time series analysis to predict AQI in Delhi, dataset collated from Indian Meteorological department of India.