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In this fast age everything becoming an smart to ease the life of human being, similarly homes can also be made smart by using artificial intelligence and internet of things. By using internet of things the device operation and their control technology in smart homes has been attracting attention. The smart home system manages smart devices used in homes, and it provides only the status value information and control function of the currently registered devices. Thus, unnecessary access procedures occur due to the characteristic of the smart home, which uses a smart device repeatedly for the same purpose. To resolve such problem , in this paper, the Smart Home System has been designed, which can predict and suggest users the next steps to take by user usage pattern analysis and inference via machine learning.
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