In this project i have built a predictive model which can be used to predict whether there is chance of getting 🔥Forest fire🔥 or not. This project is done based on the Algerian forest fire dataset. As it is a classification problen i have used Supervised ML algorithms like Logistic Regression,Decision trees,Support vector machines, Random forest classifier to build the ML model. In all the above models i have gotten 100% accuracy in Random Forest Model.and 97% accuracy in the Logistic Regression. An i haved deployed this model using Streamlit.
working model of the project: https://forest-fire-predictor.streamlit.app/