gururaj004/air-quality-index-analysis

This repository analyzes Air Quality Index (AQI) patterns across Indian monitoring stations (2015–2020) to diagnose pollution sources and seasonal trends. Intended users are municipal environmental departments, public-health analysts, and data scientists who need to identify major pollutant contributors, worst seasons, high-risk areas, and policy-priority locations. Key features: data loading, cleaning and missing-value handling; exploratory and correlation analyses; pollutant comparison; seasonal and station-level AQI trend visualization. Artifacts: a Jupyter notebook, dataset and image folders, and requirements. Visual outputs include trend graphs, heatmaps, bar/line plots and pollutant distributions. Findings highlight seasonal spikes, regional differences and dominant pollution indicators. Suggested next steps: AQI prediction models and interactive dashboards (Streamlit/Power BI/Tableau).

AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.