Multi-Modal Accessibility Enhancement for Diverse User Groups

Abstract

The need for enhanced accessibility is paramount in today’s diverse and inclusive society. Recognizing the varied abilities, preferences, and contexts of users, we present a novel mobile app that leverages OCR and machine learning technologies to address the specific challenges faced by visually impaired individuals, dyslexic and cognitively challenged individuals, and colorblind users. Our app empowers visually impaired users by summarizing text from images and converting it to audible speech. For dyslexic users, the app extracts and summarizes text while employing the OpenDyslexic font, designed to enhance readability. Colorblind users benefit from image filters that enhance color contrast and aid in color discrimination. This app represents a significant step forward in multi-modal accessibility, providing a unified platform that caters to the diverse needs of users with disabilities. By integrating advanced technologies, our app paves the way for a more inclusive and accessible technological landscape.

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