IoT based Fire Detector and Automatic Extinguisher

This paper suggests creating an automatic fire detection system that makes use of the Blynk platform to notify users of fire emergencies. Sensors and image processing techniques will be used by the system to identify fires and notify users via a mobile application. Also, data on fire accidents will be gathered and analyzed by the system to spot trends and create preventative measures. The dataset will contain data on the origins of fires, how frequently they occur, and how they affect various kinds of buildings and structures. Machine learning algorithms will be used in the analysis to find potential risk variables and create fire prevention plans. This project's overall goal is to increase fire safety through the provision of early detection and alert systems as well as the use of data analysis to create efficient preventive measures