The smart home is now of interest to many researchers. The network of things has enabled homes to become interactive away from the traditional homes that have lasted for a long time. The Web is an important part of the various exchanges of current life. The Web of Things has expanded rapidly to include many aspects of life today, including home appliances, alarm systems, and distributed storage systems for information created by home appliances. The various innovations and parts make up a smart home, and they all produce valuable information that can be used to guess home conditions and outdoor traffic. A wonderful and comprehensive smart home fire suppression system based on IoT and machine learning is presented with plan and framework for optimization. The frame controls and directs the security of the house and its current conditions through the use of a group of sensors, where there is a unit that controls and examines electrical tools and natural variables, and to obtain a protected and accurate frame, the idea of artificial intelligence was used to determine the state of the flame. This work shows that AI computations can advance the usefulness of a home computing framework and improve home security.