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Machine Learning Project to predict the Air Quality Index
Deep Gaussian Processes for Air Quality Inference
A ML project based on aqi data
The study analyses the AQI and predicts before and after lockdown of COVID-19 in India.
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.
Hackathon project for Mastek's Deep Blue season 6 on visualization of AQI and its components integrated with SARIMAX statistical model.
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.
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! 🚀
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.
[Option]The document
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,
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
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