Design of a Digital Navigation Assistant in EMINUS for People with Visual Disabilities

Requirements analysis is crucial in software system development. With the growth of Artificial Intelligence (AI)-based solutions, this analysis has gained greater importance to create more robust and accessibility-focused solutions. This study defines the software requirements for designing a virtual assistant that utilizes Natural Language Processing (NLP) to facilitate navigation through voice commands for visually impaired people on the EMINUS educational platform, belonging to the Universidad Veracruzana. The necessary requirements are detailed using Google Cloud Text-to-Speech API, neural networks with Bayesian classification algorithms, Rest API services through Node.js, JavaScript, and HTML5 for creating a plugin in Google Chrome.