A Multiple Regression Approach was used to Conduct A Critical Evaluation of a Home Automation that used the Natural Language Processing and Effective Tool for Improving

The Web of Things is primarily regarded as one of the primary technological instruments that permits interconnecting various devices over the network, enabling comprehensive data and data interchange, supporting the receipt of instructions, and enabling efficient response to those instructions. With the development of IoT, a large number of devices are now linked to the internet, allowing users to exchange data, programme desired actions, and control the gadget remotely. The goal of this research is to better comprehend the fundamental factors that influence the development of smart homes via the Internet of Things (IoT). Integration of speech recognition into gadgets, remote device control, and assistance with energy bill reduction are the main factors taken into account. The research aims to gather evidence of both secondary source in order to conduct the study. The information is numerically applied using a five - point scale after being gathered through a quiz. The experts use big data analytical methods known as AMOS to understand the route network using the concept of covariance - based structural equation.