The Real-Time Sign Language Translator Prototype project aims to bridge communication gaps in the workplace for Deaf and hard-of-hearing individuals by developing an AI-powered tool. The primary goal is to create a prototype that can translate sign language into text and speech in real-time, facilitating smoother interactions and inclusivity in professional environments. This project will enable students to apply their knowledge of AI, machine learning, and natural language processing to address a real-world problem. The project focuses on developing a user-friendly interface and ensuring accurate and efficient translation capabilities. By working on this project, students will gain hands-on experience in prototyping, testing, and refining AI-driven solutions, preparing them for future challenges in the tech industry.

The project deliverables include a functional prototype of the AI-powered translation tool, comprehensive technical documentation detailing the development process, and insights from testing the prototype in various scenarios. Students will also provide a report on the accuracy and efficiency of the translation, along with recommendations for further improvements. These deliverables will demonstrate the students' ability to apply theoretical knowledge to practical applications, showcasing their skills in AI and software development.