Creation of an IoT-Based Gestures-To-Words Sign Language Translator

Resumen

Sign language translator based on Gesture recognition, IoT, and Arduino The proposed project
will serve to bridge the gap in communication between the ability-impaired and individuals with hearing or
speech problems in the general population. This program is a project that will use Media Pipe, a real-time
gesture recognition tool that will be used in conjunction with the machine learning algorithms to read sign
language gestures and create readable text and speech that can be decrypted. The system uses an Arduino
microcontroller to process the gesture data, incorporates the IoT to access the system remotely and monitor it,
and uses a DF Mini Player to provide voice feedback when the gesture is recognized. The system also includes
a light and fan control as a demonstration module to demonstrate how to interact with a device by providing
a gesture. This new solution is focused on inclusivity, access, and usability, which is why communication is
easy in any setting, whether the home, the workplace, or the street.