An AI-powered tool that identifies city heat hotspots and shows how planting trees can reduce heat risk.
City Heat AI helps detect areas in cities that are most affected by heat. Using environmental features like surface temperature, green cover, built-up density, and albedo, the system calculates a heat risk score for each location. Users can simulate increasing green cover to see how it lowers local heat risk. The project demonstrates how small, data-driven interventions can make cities more livable and sustainable.
- Load the dataset with latitude, longitude, surface temperature, green cover, built-up density, and albedo.
- Calculate a heat risk score using a simple, explainable formula:
[ \text{Heat Risk} = 0.4 \times \text{Surface Temperature}
- 0.3 \times \text{Built-up Density}
- 0.2 \times \text{Green Cover}
- 0.1 \times \text{Albedo} ]
- Visualize city heat hotspots on a Streamlit interactive map.
- Adjust the tree cover slider to simulate planting trees and see heat risk reduction in real time.