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Machine Learning Project to predict the Air Quality Index

Deep Gaussian Processes for Air Quality Inference

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

A ML project based on aqi data

AQISystem_v3.2.py 脚本构建了一个综合的空气质量指数（AQI）及多种污染物浓度预测与异常数据检测系统。该系统利用基于Transformer的深度学习模型进行多目标时间序列预测，并集成了数据预处理、模型训练、超参数优化、模型评估、预测以及异常点识别等功能。系统通过命令行界面与用户交互，并将所有控制台输出及详细的训练过程记录到日志文件中。

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

MLOps application that forecasts the next three days Air Quality Index (AQI) for Lahore, Pakistan, using a 100% serverless stack.

AQI prediction system for 35 Indian cities using Random Forest, XGBoost, LSTM, and Prophet models. Features interactive dashboards, city-specific analyses, and forecasts through 2027.

Tashkent AQI prediction app

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.

A Flask-based web application that predicts the Air Quality Index (AQI) in India. It scrapes real-time data, performs comprehensive data cleaning and feature engineering, and trains multiple machine learning models (including XGBoost, LightGBM, and CatBoost) to find the best predictor.

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

AQI Forecasting webapp

A smart air pollution monitoring system

End-to-end AQI Prediction System using real-time weather & pollutant data, with automated ML pipelines and a Streamlit dashboard.

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

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,

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This project is a web application built using Flask and Random Forest Regressor that predicts the Air Quality Index (AQI) based on various air pollutant parameters.