{"repo":"architzero/Aura-accessibility-scanner","free":true,"listed":false,"github":"https://github.com/architzero/Aura-accessibility-scanner","clone":"git clone https://github.com/architzero/Aura-accessibility-scanner.git","description":"An intelligent web accessibility auditor that finds WCAG violations and provides AI-powered suggestions to help developers fix them.","language":"Python","stars":13,"topics":["ai","ai-caption-generator","automation","axe-core","flask","flesch-kincaid","ocr","playwright","wcag2","web-accessibility-initiative"],"license":null,"category":"scrapers-browser-automation","readme_excerpt":"Aura: AI-Powered Web Accessibility Auditor 🚀 Aura is a full-stack web accessibility platform that combines Axe-core scanning with AI-powered suggestions to achieve WCAG compliance. 🤖 AI Features 1. BLIP Image Captions - Generates alt text using Hugging Face's BLIP model 2. Color Contrast AI - Calculates WCAG-compliant color fixes (4.5:1 ratio) 3. Flesch-Kincaid Analysis - Analyzes text readability grade level 🛠️ Tech Stack Backend: Python, FastAPI, MongoDB, Playwright, Axe-core AI/ML: Hugging Face Transformers (BLIP), PyTorch, TextStat Frontend: HTML, CSS, JavaScript 📦 Installation Prerequisites - Python 3.11+ - MongoDB Atlas account Setup 1. Clone & Install 2. Configure Environment Create backend/.env : 3. Run Application 4. Access : http://127.0.0.1:8001 🧪 Test AI Features Expected output: - ✅ BLIP Model Working! - ✅ Color Contrast AI Working! - ✅ Flesch-Kincaid Working! 🌐 Test Sites Recommended: - https://example.com - Simple baseline - https://www.berkshirehathaway.com - Contrast issues - https://www.arngren.net - Multiple issues - https://news.ycombinator.com - Fast scan Blocked (CSP): - Instagram, Facebook, Twitter, LinkedIn 📊 How It Works 1. User creates project with URL 2. Playwright + Axe-core scan website 3. AI analyzes violations: - Image-alt → BLIP generates descriptions - Color-contrast → Calculates WCAG fixes - Text → Flesch-Kincaid readability 4. Results stored with severity-based score 5. User views issues + AI suggestions 🎯 Key Features - ✅ Live websi","default_branch":null,"files":null,"tree":[],"storefront":"/r/architzero","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/architzero/Aura-accessibility-scanner/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}