Adaptive Technology System for Hearing-Impaired Individuals Using OpenCV

The Speech-to-Sign Language Translator is an application designed to convert spoken words into translated text, audio output, and sign language representations. Using Python and various libraries, this project captures speech input, translates it into multiple language options, and provides both a textual and audio translation. Additionally, it displays sign language images to visually communicate the translated message to individuals with hearing impairments. The system leverages speech recognition for capturing spoken words, Google Translate API for multi-language support, gTTS for audio output, and a pre-loaded set of sign language images for visual representation.