Contextual Translation System to Sign Language

People with hearing and speech disabilities face significant challenges in communicating with others, as not everyone understands sign language. This project aims to create a system that helps bridge this communication gap by converting spoken English into Indian Sign Language (ISL). The system works by recognizing voice input, the recognized speech is converted into text, which is then simplified using natural language processing techniques. Finally, the text is translated into ISL and displayed as a series of images or motion videos using Python libraries. This system provides an easy and accessible way for people with hearing or speech disabilities to communicate effectively, promoting inclusivity and understanding in everyday interactions.