TinyML on Arduino Nano 33 BLE for Disabled Person

In recent years, the embedded machine learning topic has become very popular in AI. With the help of different techniques, it is possible to run pre-trained models or training neural networks directly on embedded machine learning, for example, smart products such as voice assistants and smart sensors. All that techniques are needed in the robotics fields. And all people like to use smart devices in different popular devices every time. However, to use smart objects everywhere requires the use of small components for ease of use and handling. This requires the running of machine learning models on microcontrollers. Disabled people can take advantage of new artificial intelligence technologies to control devices. In this paper, we propose to run a model on the Arduino Nano 33 BLE Sens for disabled people to switch lamp using voice recognition. This method can be used to start washing machine, pomp, and other situations.