FOREST FIRE PREDICTION USING MACHINE LEARNING TECHNIQUES

FOREST FIRE PREDICTION USING MACHINE LEARNING TECHNIQUES

Mr. ARUNKUMAR V1  MSc Data Science, Ms. Kanimozhi.V2 MTech,(Ph.D.)

1Student, Rathinam College of Arts and Science

2IT Assistant Professor Department of Computer Science,

Rathinam College of Arts and Science

Abstract—In this paper, we examine the use of numerous strategies for predicting the occurrence of forest fires across the country of India. Here, we'll look at a few classification techniques, including decision trees, logistic regression, and support vector machines (SVM). We employ the Random Forest with Bagging technique for purposes of comparison and if it gives good accuracy then it will take out to the deployment. By using their zip code, these algorithms will notify them about the forest fire alert and fire zone on the dedicated website. Python is utilized for all calculations and model construction.

Index Terms—SVM, Bagging, Random Forest, AI.