Design and Development of Wizardry Gauntlet

Gesture-based language is a unique methodology for communication among conventional and hearing-impaired. Nevertheless, people see an issue in human activity with standard people who don't understand their signing. In this manner, they ceaselessly feel a barrier to remove this boundary. This paper proposes a device that would convert hand signals of nonconventional persons into voice so that an individual can understand their gestures. The proposed device will help nonconventional people to represent their thoughts. Internet of Things (IoT) and Machine Learning (ML) algorithms have been used for the betterment of the system. The proposed methodology consists of two sides: transmitter side and receiver side. The transmitter side is responsible for sending electrical signals wirelessly through Arduino combined with Radio Frequency (RF) transmitter and flex sensors connected through wires. On the receiver side, Global System for Mobile Communication (GSM), RF receiver, Liquid Crystal Display (LCD) and Arduino are used to receive the electrical signals and display the output on the screen.The proposed system allows the person to send or monitor the health condition of the user during their critical time and have made the communication process wireless. Also, the output through the system would surely help in transitioning day-day life decision making of non-conventional people.