Voice-guided Mobile Assistance for the Visually Impaired

https://doi.org/10.55529/ijitc.42.6.17

Authors

  • Yash Khopkar MCA Science, MIT WPU, Pune, Maharashtra, India.
  • Avantika Deshmukh MCA Science, MIT WPU, Pune, Maharashtra, India.
  • Prof. Gufran Ansari MIT WPU, Pune, Maharashtra, India.

Keywords:

Voice-Guided Assistance, Text-to-Speech Integration, Android Accessibility, Object Detection, Optical Character Recognition (OCR), Visual Impairment.

Abstract

In today's digital age, mobile apps have transformed our daily lives, but for people with visual impairments, these apps often present accessibility challenges. This research addresses the need for improved solutions by focusing on "voice-guided assistance" for Android smartphones. The existing options for visually impaired users are fragmented, and this study aims to create an integrated mobile application, "Voice Companion," designed to enhance their digital experience. "Voice-Companion" is a specialized Android application designed for visually impaired individuals, developed in Java within the Android Studio environment. It leverages the Android OS to provide comprehensive non-visual access. With features like voice commands, object detection, messaging, a voice-activated calculator, location and time announcements, text-to-speech capabilities, and battery status updates, the user-friendly app bridges accessibility gaps, empowering visually impaired users for equal participation in the digital realm. Its modular, user-centric design emphasizes accessibility through seamless integration of voice commands and gesture recognition, facilitating efficient interactions with mobile devices. This research aims to create "Voice-Companion," enhancing smartphone accessibility through seamless voice command integration and gesture recognition. Anticipated results include improved digital engagement and quality of life for users with visual impairments.

Published

2024-02-01

How to Cite

Yash Khopkar, Avantika Deshmukh, & Prof. Gufran Ansari. (2024). Voice-guided Mobile Assistance for the Visually Impaired. International Journal of Information Technology & Computer Engineering , 4(02), 6–17. https://doi.org/10.55529/ijitc.42.6.17

Issue

Section

Aricle Publication

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