aravind-selvam/forest-fire-prediction
Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.
This tool helps fire prevention specialists and environmental managers predict forest fires. It takes in local weather conditions like temperature, humidity, and wind speed, and outputs whether a fire is likely to occur and a Fire Weather Index score. This allows for proactive measures and resource allocation.
No commits in the last 6 months.
Use this if you need to forecast forest fire risk in a specific region based on daily weather reports to make informed safety and operational decisions.
Not ideal if you need a real-time, global fire detection system or if your focus is on post-fire analysis rather than predictive risk assessment.
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Last pushed
Feb 22, 2023
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