Voice Assistance for Visually Challenged People Using AIML
DOI:
https://doi.org/10.15662/IJEETR.2026.0802147Keywords:
Tensor flow, object recognition, text recognition, voice command, image capture, intelligence assistance.Abstract
By offering a customized voice-controlled assistant, the Voice Assistant for Visually Challenged People using AIML (Artificial Intelligence Markup Language) seeks to improve the accessibility and independence of people with visual impairments. In order to construct an intelligent and adaptable interface, this project makes use of the features of AIML, a markup language intended for chatbots and conversational agents. The suggested approach focuses on tackling the particular difficulties that visually impaired people encounter on a daily basis, such as traversing physical environments, obtaining information, and carrying out different jobs. To comprehend user commands and provide pertinent information or support, the voice assistant uses speech recognition and natural language processing.The goal of the proposed AIML Voice Assistant for Visually Challenged People is to close the accessibility gap and enable people with visual impairments to live more independent and satisfying lives. This initiative is a step toward using AI to develop inclusive technologies that address the particular requirements of various user groups.
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