Abstract
The project "Sign Vision: Empowering Communication Through Visual Recognition" aims to develop a system that leverages advanced visual recognition technology to enhance communication for individuals with diverse needs. In today's digital era, effective communication is crucial for inclusivity and accessibility. However, traditional communication methods may pose challenges for individuals with disabilities or those facing language barriers. Sign Vision seeks to address these challenges by harnessing the power of visual recognition algorithms to interpret and translate visual information into comprehensible formats. The project will involve the development of a user-friendly interface equipped with image processing capabilities to recognize and interpret visual cues such as sign language, gestures, and symbols. Through machine learning algorithms, the system will continuously improve its recognition accuracy and adaptability to various communication styles and contexts. Additionally, Sign Vision will provide customizable features to accommodate individual preferences and accessibility requirements. Key Words: Visual recognition technology, Communication enhancement, Accessibility solutions
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