• Dr. Pankaj Malik
• Aparna Jaiswal
• Shweta Gupta
• Samyak Jain
• Devendra Patidar

Fire safety is a critical aspect of building management and public safety. Traditional fire detection and alarm systems are limited in their ability to precisely locate fires within a building. This research paper explores the application of machine learning techniques for enhancing fire safety and accurately identifying the location of fires in buildings. The objective is to develop an intelligent fire detection and localization system that can improve emergency response, reduce property damage, and save lives. The paper discusses various machine learning algorithms, data acquisition techniques, and features for fire detection and fire location identification. Experimental results demonstrate the effectiveness and feasibility of the proposed approaches in real-world scenarios.

"Machine Learning Approaches for Fire Safety and Fire Location Identification in Buildings", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.10, Issue 9, page no.c631-c651, September-2023, Available :http://www.jetir.org/papers/JETIR2309271.pdf

"Machine Learning Approaches for Fire Safety and Fire Location Identification in Buildings", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.10, Issue 9, page no. ppc631-c651, September-2023, Available at : http://www.jetir.org/papers/JETIR2309271.pdf