WeISM

PathAble AI is a multi-disability accessibility intelligence platform designed to help people make better-informed decisions about the places they visit. People with mobility, visual, hearing and cognitive accessibility needs often face a common problem: accessibility information is incomplete, generic or unreliable. A simple "accessible" label cannot address everyone's individual requirements. PathAble AI addresses this through personalised accessibility preferences, campus-specific place discovery and evidence-based destination profiles. Users can explore places, understand relevant accessibility information, identify unknown features and report potential barriers. The platform integrates Meta's Muse Spark 1.3 for AI-assisted barrier identification, SAM 3.1 for visual segmentation and Muse Voice Transcribe 1.0 for voice-based reporting. AI-generated suggestions remain subject to human review, while reporting, moderation and verification help maintain trustworthy information. Initially focused on IIT (ISM) Dhanbad, PathAble AI aims to create a scalable foundation for accessibility intelligence across campuses and public spaces. Its key differentiator is connecting individual accessibility needs, geographical context, AI-assisted visual evidence and human verification rather than functioning as a standalone image analyser.