• Dr. Deepa B.G
• Hari Prasad E
• Prateeksha S.G

Wildfire, which is also known as forest fire, which is very difficult to control, especially occurs in grasslands, forests, wildlife santuries.it is very significant to take action towards forest fire detection or else it leads to the destruction on forests and as well damage to environment as well. We celebrate world environment day on June 5 every year in order to celebrate the happiness of environment, hence detection of wildfire plays a significant role. Deep learning is an excellent field which contributes for detection and classification. We have many convincing algorithms found in dl, whereas one such algorithm used in this paper is CNN, which has activation functions, pooling layers, convolutional layers which makes detection or classification much easier. Dataset used in this paper is Wildfire Detection image data which leverages for both ml and for evaluating ml models., which consists of two labels with fire and no fire. The usability for this dataset mentioned is above 5, which has quite good usability. Wildfire Detection Image Data can be found in Kaggle website. After evaluation of the work, CNN model provided results around 96.4% ad been obtained.

Deep Learning, Machine Learning, Specificity, Sensitivity, Recall, F1 Score.

"Early Wildfire Detection Leveraging Convolutional Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 6, page no.h380-h384, June-2024, Available :http://www.jetir.org/papers/JETIR2406743.pdf

"Early Wildfire Detection Leveraging Convolutional Neural Networks", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 6, page no. pph380-h384, June-2024, Available at : http://www.jetir.org/papers/JETIR2406743.pdf