Storytelling App for Child Using Natural Language Processing (NLP)

Abstract

The paper introduces a mobile app that is specifically designed to enable hearing-impaired children to access stories. The app differs from traditional storytelling methods, which involve reading or listening to stories, as it converts written text into sign language images using two algorithms. The first algorithm utilizes speech APIs to convert text to speech, while the second algorithm uses natural language processing techniques from the NLTK toolkit to convert speech to sign language. The app is capable of translating english words into Indian sign language, making it an invaluable tool for caregivers, teachers, and parents of hearing-impaired children. This research project contributes to the field of assistive technology by providing a platform that caters to the specific needs of hearing-impaired children, allowing them to enjoy stories in a way that is tailored to their unique abilities. One of the unique features of the app is its ability to translate English words into Indian Sign Language, which is particularly beneficial for caregivers, teachers, and parents of hearing-impaired children in India. By offering a platform that caters to the specific needs of hearing-impaired children, this research project contributes significantly to the field of assistive technology. The app's innovative approach to storytelling provides a tailored experience that allows hearing-impaired children to enjoy stories in a way that is engaging and accessible. This app has the potential to transform the way hearing-impaired children access stories, and its contribution to the field of assistive technology is significant. Overall, this paper underscores the importance of developing technology that caters to the needs of diverse communities and highlights the possibilities that emerge when technology is designed to serve all members of society.