This project visualizes urban air quality using a 3D orthographic and playful visual language, transforming AQI and pollutant data into spatial elements such as height, color, and environmental cues. The goal was to move away from dense technical dashboards and create a format that feels intuitive and engaging to explore.

Designed as an exploratory experience, the system allows viewers to observe seasonal and pollutant variations at their own pace.

The framework is scalable and adaptable, built with modular templates for seasonal contexts and city “islands.” Delhi and Trivandrum serve as case studies, demonstrating how the system can easily adapt to different cities and environmental datasets.