This paper proposes a prototype of an improved smart home automation system, with the integration of IoT, cloud technologies, and intelligence embedding. The automation and the ability for users to control their home appliances remotely are enabled with the use of IoT. Since a smart home also requires to consider the importance of energy efficiency while offering a certain level of comfort, the energy consumption is also monitored by placing several current and volatage sensors. The Raspberry Pi microcontroller board is used to gather and process information from sensors and allows the uploading of the data to the cloud database. A fuzzy-based algorithm is employed for helping the smart home controller to provide the right decisions based on the current home condition when the application runs in automatic mode. Meanwhile KMeans Algorithms is implemented to cluster the smart home user’s energy consumption.