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thamreen13/algerian-forest-fire-ml-flask

Domaine:

environment and energy

Type de record:

software
Créateur:
tha
Hôte:
A Flask web app to predict Algerian Forest Fire Weather Index (FWI) using Machine Learning. # Flask Forest Fire Prediction ## Overview A Flask web application that predicts the **Algerian Forest Fire Weather Index (FWI)** using a trained machine learning model. The app allows users to input environmental parameters and get a risk prediction for forest fires. ## Features - Predict forest fire risk based on weather and environmental data - Easy-to-use web interface built with Flask - Scalable and deployable as a web app - Uses StandardScaler for feature scaling and ML model for prediction ## Dataset The app uses the **Algerian Forest Fires Dataset** with features such as: - Temperature (°C) - Relative Humidity (%) - Wind speed (km/h) - Rainfall (mm) - FFMC, DMC, DC, ISI, BUI (forest fire indices)