| Abstract | -The development of wearable AI devices for visually impaired individuals often lacks sufficient
input from the end-users, leading to products that fail to address their real-world needs. This research proposes
a user-centric wearable AI device that integrates computer vision, Natural Language Processing (NLP),
Reinforcement Learning (RL), and haptic feedback to provide real-time assistance. Also employs participatory
design approach to create and evaluate a user-centric wearable AI device tailored for visually impaired users.
By involving visually impaired individuals as co-designers and testers throughout the development process,
the study aims to ensure the device is intuitive, accessible, and effective in addressing daily challenges such
as navigation, object recognition, and social interaction. The necessity of this study lies in bridging the gap
between technological innovation and user accessibility, ensuring that wearable AI solutions are not only
advanced but also practical and inclusive. The outcomes will provide a framework for designing assistive
technologies that prioritize user needs, ultimately enhancing the quality of life for visually impaired
individuals.
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