🌇 Bengaluru AQI Map
“Air is a right. Let’s make its quality visible.”
Bengaluru AQI Map is a human-centered ML project that predicts and visualizes air quality across the city. It’s built for transparency, awareness, and gentle action toward sustainability.
This project focuses on clean code and clean air.
📍 What It Does
- Pulls air quality data from open datasets or APIs
- Trains ML models to predict AQI across Bengaluru zones
- Visualizes AQI in an interactive map using Folium or Plotly
- Explores correlations: traffic, weather, green cover
🌿 Tech Stack
Python, pandas, scikit-learnFolium or Plotly for map-based UIStreamlit or Gradio (optional for web app)
📊 Dataset Sources
- Open Government Data (India AQI)
- Kaggle city pollution datasets
- Public APIs like waqi.info
🎯 Goals
- Build a predictive model for AQI in different city zones
- Highlight patterns & risk areas
- Create a visual tool for residents to understand air quality
💭 Future Features
- Daily forecast dashboard
- Pollution contributor breakdown (e.g., vehicle, dust)
- Alert system with gentle UI + daily poetic air messages
🕊️ Why It Matters
Data can suffocate — or it can breathe.
This project makes it easier to care.