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bakarzahid/Basira-AI-Vision-Assistant

AI-driven vision assistant for the visually impaired using YOLO and Flutter. Developed as a Final Year Project at Riphah International University

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SUMMARY AI summary by gpt-5-mini

Basira is an assistive vision system developed at Riphah School of Computing & Innovation to support visually impaired users with real-time environmental awareness and navigation. It combines YOLO 26 NVM for object detection and obstacle avoidance with a bilingual (Urdu/English) voice assistant to report surroundings. Intended users are people with visual impairments who need object recognition and safe-motion cues. The implementation uses a Flutter frontend, Node.js backend, and Supabase (PostgreSQL) for data storage; documentation follows IEEE standards. The repository contains a project report and feature form (Documentation), UML/ERD/sequence/DFD design models (Design_Models), and high-fidelity accessibility UI mockups (Prototype). Project authors: Muhammad Abubakar and Naqeeb Ashraf; supervisor Ms. Javeria Abid.

DETECTED Detected AI stack

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💾 Databases (2)

PostgreSQL Supabase

🌐 Web frameworks (1)

Flutter

Language breakdown (by bytes)

HTML

100%

Why this is classified AI-related

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Total AI relevance score: 75 / 100

Position among AI repos in the same language

We track 3,309 HTML repos, of which 2,051 score 40 or above on AI relevance. 415 have more stars than this one (top 12.6%), and 147 score higher (top 4.5%).