Paper Title
Speaking System for Mute People Using Hand Gestures

Abstract
This paper presents a speaking system for mute individuals that uses hand gestures for communication. The system employs flex sensors to detect hand movements, with an Arduino ]microcontroller processing the gestures. The recognized gestures are converted into text and speech via a text-to-speech (TTS) module. The system is designed to be portable, cost-effective, and user-friendly, enabling real-time communication for individuals with speech impairments. The research addresses challenges such as sensor accuracy and vocabulary expansion, and discusses future improvements using machine learning to enhance gesture recognition, making the system adaptable and efficient for various users. Keywords - Speech-ImpairedAssistance, Flex sensor,Speech Synthesis, Gesture Recognition, Arduino based system.