NavAble: An AI-Driven Accessibility Mapping Platform for Disabled Citizens
Urban accessibility remains a major challenge for people with disabilities due to inconsistent infrastructure, lack of reliable accessibility information, and limited awareness. This paper proposes NavAble, an AI-driven accessibility mapping platform designed to assess, rate, and visualize accessibility features within urban environments. The system integrates community- sourced data, machine-learning- based accessibility inference, and personalized route planning to support independent mobility for disabled citizens. NavAble utilizes a modern full-stack architecture incorporating React.js, Node.js, and Firebase, TensorFlow.js, and Leaflet maps to deliver scalable, real-time accessibility insights. The platform enhances civic inclusivity, supports governmental compliance monitoring, and empowers users through data-driven navigation.
Authors
- N R Deepak
- Nidhi Vinod
- Kashish Agrawal
- Manvay Nihal
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2026-07-28
- DOI
- https://doi.org/10.5281/zenodo.21636734
- Primary Topic
- Tactile and Sensory Interactions
- Type
- article
- Field-Weighted Citation Impact
- 0.00