Communication aid for specially abled

This project aims to develop a comprehensive and inclusive technology solution for individuals with sensory impairments.It focuses on hand gesture recognition to voice conversion, text identification in images to voice conversion, text to speech conversion, and voice to speech conversion. The implementation involves the use of a Raspberry Pi, a microphone, a speaker, and a camera to enable seamless communication and interaction. The hand gesture recognition feature utilizes machine learning and computer vision techniques to recognize and interpret hand gestures, converting them into corresponding voice commands. The text identification in images feature utilizes image processing algorithms to identify and extract text from images. This text is then converted into voice output. The text to speech conversion feature enables individuals to input text through a keyboard or other input devices. The system converts the entered text into speech output. The voice to speech conversion feature utilizes a microphone to record voice modulations, which are then converted into text using speech recognition algorithms. The converted text is displayed on a screen.