The present article was conducted within the framework of Resolution 20223040030355, which stipulates that individuals with hearing disabilities are eligible to obtain driver's licenses, and that Driving Schools must adapt methodologies to enable these individuals to take lessons. In order to facilitate the educational process for deaf individuals in practical driving classes, a prototype was developed. This prototype incorporates a voice command processing algorithm utilizing a recognition model named Vosk, alongside a graphical interface implemented in Python using the PyQt5 library. This interface aims to enhance communication between the instructor and the learner. Trials were conducted within vehicles at a Driving School, yielding favorable outcomes. This approach introduces innovative methodologies in contrast to those employed in other nations, thereby contributing to the technological, educational, and inclusive advancement of the country.