2025Python

Global Air Quality Index Prediction

Machine learning project predicting AQI using multiple pollutants with interactive visualization

PythonMachine LearningData ScienceSpatial AnalysisData VisualizationEnvironmental Analysis

Overview

Developed machine learning models to predict Air Quality Index values using various pollutants (PM2.5, PM10, O3, NO2, CO, SO2). Performed comprehensive exploratory data analysis, correlation studies, and data preprocessing.

Created interactive global AQI dashboards with spatial heatmaps using Folium for visualization and deployed XGBoost models for accurate predictions.

Project Gallery

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