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ABSTRACT
A voice interaction system is a type of technology that allows users to interact with a computer or other device using their voice, rather than traditional input methods such as typing or clicking. Voice interaction systems can be found in a variety of applications, from virtual assistants like Siri or Alexa to hands-free control in automobiles. Due to this technology, several voice-driven technologies are now available to the mass market, However, while such devices offer users a hands-free way of interacting with their devices through speech, they often have trouble interpreting commands due to the lack of clarity in their recordings which most times leads to incorrect results caused by misinterpretation when users interact with the assistant, resulting to incorrect data being sent to the cloud. In this research work, we used Tiny ML multi-layer approach that allows the device to execute commands given to it with or without Internet access. We have combined a Matrix Voice Recognition board with an external speaker for output purposes as well as Python for the backend. The result of the testing process shows that the system meets the objectives and goals of this study. Furthermore, this new service could be used in different areas of life including education assistance and home automation.
