Bhopal Air Quality Analysis
(PM2.5 & PM10)

A station-wise particulate pollution analysis for Bhopal using the AQI India dataset (2023–2025), featuring interactive mapping, layered visualization, and key summary insights.

🗺️ Open Interactive Map ⭐ View GitHub Repository
Live dashboard • analysis notebook • cleaned dataset

📌 Project Objectives

  • Extract Bhopal station readings from a large AQI dataset
  • Compare PM2.5 and PM10 across monitoring stations
  • Identify stations with the highest particulate pollution
  • Create a professional interactive GIS dashboard using Folium

🧠 Skills Demonstrated

  • Python (Pandas, cleaning, feature engineering)
  • Exploratory Data Analysis (EDA)
  • Interactive mapping (Folium)
  • Visualization layers + heatmaps
  • Deployment using GitHub Pages

📂 Outputs

  • Clean station-wise dataset (CSV)
  • Jupyter Notebook (analysis)
  • Interactive map dashboard
  • Hosted live website

📊 Key Findings

  • PM10 values are generally higher than PM2.5 (dust impact)
  • Some stations show significantly higher particulate levels
  • Strong evidence of resuspended road dust contribution

🌍 Why This Project Matters

This project demonstrates a complete real-world data workflow: raw dataset → cleaned dataset → analysis → visualization → interactive dashboard → deployment. It is a strong portfolio project even for an EC student, because it proves you can build complete end-to-end systems.