Voice-Driven Intelligence on Wheels: A Speech-based Smart Vehicle Powered by IoT

The research in this paper mostly focuses on the development of an integrated IoT and deep learning-based speech-driven smart vehicle. Which uses a speech recognition algorithm to enable control of the device with voice commands. The IoT system designed in this project will make use of an advanced learning speech recognition algorithm to interpret spoken commands and react accordingly, resulting in a more hands-free and sensible driving experience. The device improves the vehicle's availability and utility by allowing users to easily and painlessly control its motions using voice commands. The system's fundamental component is a speech recognition algorithm that uses convolutional neural networks and is based upon deep learning technology. In order to achieve accurate speech recognition, the proposed system is trained on a different collection of speech samples. Upon deriving significant instructions from the esteemed user, the Raspberry Pi processes the user command and gives the instructions to the motor controllers. Finally, the system moves in the given directions by following the safety measures.