Published Paper Details:

The primary goal of the project is to enable communication between mute and non-mute people using a Raspberry Pi and the programming language Machine Code. This initiative will be helpful in resolving the issue that persons who are deaf cannot speak and ordinary people cannot read sign language. We developed a smart speaking system that enables deaf people to interact with hearing people through the use of hand gestures and movements. Mute persons will be able to communicate via hand signals, often known as sign language. The Raspberry Pi serves as the project's primary tool, receiving input signals from flux sensors and processing them continuously. Here, the resistive sensor is also used to describe the flux sensor. When the message is located in memory, it is read aloud through the interfaced speaker. Moving your body to communicate particularly of hands and arms used to convey their emotions. The WHO estimates that 466 million people worldwide have hearing impairments, or over 5% of the world's population, of which 34 million are children. In contrast, 18 million individuals in India suffer from hearing loss.