Solo project2024
Forest Fire Detection Model
An early-wildfire-detection model that local government put into real use.
−25%
Response time
Local govt
Adopted by
CV / ML
Domain
Problem
Wildfire response is a race against time — the earlier a fire is spotted, the smaller the damage. Manual monitoring is slow and patchy.
Approach
Trained a computer-vision detection model to identify early signs of wildfire.
Deployed it for real use and worked with local government to fit it into their response workflow.
Impact
Adopted by local government.
Credited with reducing wildfire emergency response time by 25%.
Stack
- Python
- AI / ML
- Computer Vision