Building a web-based continuous sign language translation application for the deaf and hard-of-hearing (DHH)

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Advancement in technology has brought about limitless possibilities. We have seen technology been applied to every aspect of our lives, from Medicine to the food we eat. This technology can also be applied to make life more comfortable for the Deaf and Hard-of Hearing (DHH) individuals. Assistive technologies have been built for individuals with various forms of disabilities. DHH individuals have seen assistive technologies in the form of mechanical hardware, and cybernetics that enables translation of sign language to verbal communication in various languages. However, these technologies are often expensive and difficult to afford. In this project, an automatic sign language translation model is implemented to help people without hearing impairment to communicate better with DHH individuals in order to better provide services for them.
Applied project submitted to the Department of Computer Science and Information Systems, Ashesi University, in partial fulfillment of Bachelor of Science degree in Computer Science, May 2020
mobile application, sign language translation, web-based application, machine learning