This project is a Streamlit-based web application that visualizes and analyzes global air pollution data using interactive maps, charts, and filters.
It is part of the Sujatha AI COE Batch 1 learning initiative.
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Interactive Global Map π
Visualize pollution levels across countries and cities using PyDeck scatter plots. -
Pollutant Filters
Select pollutants such as PM2.5, PM10, and Ozone (Oβ) to analyze. -
Top Polluted Cities
Displays the top 5 most polluted cities based on the selected pollutant. -
Metrics Dashboard
Shows highest and average pollutant concentrations. -
Comparison Charts π
Compare air quality levels across cities with interactive bar charts. -
Raw Data Viewer
Explore the underlying dataset directly inside the app.