International Journal on Science and Technology
E-ISSN: 2229-7677
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A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal
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Volume 16 Issue 4
October-December 2025
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NavAIgate: AI-Based Navigation for the Visually Impaired
| Author(s) | Ms. Pranava Pothuka, Dr. Madhumita K |
|---|---|
| Country | India |
| Abstract | The vision is one of the primary requirement in our day to day life. NavAIgate is a very original Android-based phone app which was mainly designed for those among the visually impaired and blind people who want to be more self-sufficient, safer, and have an easier time of getting around. The app provides a range of different functional modes, such as Navigation Mode, Reading Mode, and Companion Mode. Here, the different modes of the app offer the user the most essential functionalities required for guiding them through spoken words with the help of artificial intelligence and also the considerations of the possibility of objects nearby. The app processes information via Google ML Kit, the Gemini API, and Accessibility Services in Android. Moreover, it uses haptic feedback and voice interaction with which user experience is being made easier and more efficient. This system integrates three core modes Navigation, Reading, and Companion which leverage AI-driven processing for reliable audio feedback and situational awareness. Reading Mode particularly enables real-time recognition and speech conversion of both digital and printed text, powered by Google ML Kit, Gemini API, and Android Accessibility Services. The forthcoming project updates containing functionalities such as offline operation, indoor navigation, and public transport data integration, serve to ensure accessibility under various conditions. The cornerstone of this project is the development of a mobility- solution technology that is both affordable and user-friendly, providing information and support to people who are blind and visually impaired, so that they can reach their goals and become independent. As a final result of the project, it is expected a reliable, affordable, and user-friendly digital solution for the visually impaired. |
| Keywords | Artificial Intelligence, Gemini API, Object Detection, Machine Learning, Feedback, Accessibility |
| Field | Engineering |
| Published In | Volume 16, Issue 4, October-December 2025 |
| Published On | 2025-11-05 |
| DOI | https://doi.org/10.71097/IJSAT.v16.i4.9043 |
| Short DOI | https://doi.org/g99qm9 |
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IJSAT DOI prefix is
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