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SightlineAI\n\n\u003cdiv align=\"center\"\u003eAI-Powered Accessibility Guidance Platform for the Visually Impaired\n\nEmpowering independent navigation through multimodal artificial intelligence.\n\n\"🌐 Live Demo\" (https://rudra496.github.io/sightlineai) •\n\"📖 Documentation\" (https://github.com/rudra496/sightlineai) •\n\"🐛 Report Issue\" (https://github.com/rudra496/sightlineai/issues) •\n\"💡 Feature Request\" (https://github.com/rudra496/sightlineai/issues)\n\n\"License\" (https://img.shields.io/badge/License-MIT-green.svg)\n\"Python\" (https://img.shields.io/badge/Python-3.11+-blue.svg)\n\"FastAPI\" (https://img.shields.io/badge/FastAPI-Modern_API-009688.svg)\n\"Open Source\" (https://img.shields.io/badge/Open%20Source-Yes-success.svg)\n\"AI\" (https://img.shields.io/badge/AI-Gemini%20%7C%20Qwen-purple.svg)\n\n\u003c/div\u003e---\n\n🌟 Overview\n\nSightlineAI is an open-source accessibility platform designed to help blind and visually impaired individuals better understand, navigate, and interact with their surroundings.\n\nBy combining computer vision, OCR, conversational AI, and navigation intelligence, SightlineAI transforms ordinary devices into intelligent accessibility companions capable of delivering real-time environmental awareness and guidance.\n\n---\n\n🚀 Key Features\n\n- 👁️ Real-time scene understanding\n- 📄 OCR and document reading assistance\n- ⚠️ Obstacle and hazard awareness\n- 🗺️ Context-aware navigation support\n- 💬 Conversational AI assistance\n- 🌐 Multi-language accessibility support\n- 🔄 Offline fallback capabilities\n- ⚡ Real-time WebSocket communication\n\n---\n\n🧠 AI Architecture\n\nSightlineAI follows a multi-model architecture that supports multiple AI providers.\n\nSupported Models\n\nProvider| Capability\nGoogle Gemini| Multimodal reasoning, scene understanding, accessibility guidance\nQwen| Vision analysis, conversational intelligence, contextual assistance\n\nThis provider-agnostic design improves flexibility, reliability, and future scalability.\n\n---\n\n🏗️ System Workflow\n\nCamera / Voice Input\n          ↓\nVisual \u0026 Context Processing\n          ↓\nGemini / Qwen AI Analysis\n          ↓\nRisk \u0026 Accessibility Assessment\n          ↓\nVoice and Text Guidance\n\n---\n\n🌍 Impact\n\nSightlineAI addresses accessibility challenges faced by more than 285 million visually impaired people worldwide, particularly in regions where advanced assistive technologies remain financially inaccessible.\n\nUnited Nations SDGs\n\n- 💚 SDG 3 – Good Health \u0026 Well-Being\n- ❤️ SDG 10 – Reduced Inequalities\n- 💛 SDG 11 – Sustainable Cities \u0026 Communities\n\n---\n\n🛠️ Technology Stack\n\nCategory| Technologies\nBackend| Python, FastAPI\nFrontend| React, HTML, CSS, JavaScript\nAI Models| Google Gemini, Qwen\nVision| OCR, Computer Vision\nInfrastructure| Docker, Redis\nDatabase| SQLite, PostgreSQL\nNavigation| OpenStreetMap\n\n---\n\n⚙️ Quick Start\n\ngit clone https://github.com/rudra496/sightlineai.git\n\ncd sightlineai\n\ncp .env.example .env\n\npip install -r requirements.txt\n\npython -m app.main\n\n---\n\n🤝 Contributing\n\nContributions are welcome.\n\nAreas of contribution include:\n\n- Accessibility improvements\n- AI model enhancements\n- Documentation\n- Localization\n- Bug fixes\n- UI/UX improvements\n\n---\n\n📄 License\n\nReleased under the MIT License.\n\n---\n\n👨‍💻 Maintainer\n\nRudra Sarker\n\nIndustrial \u0026 Production Engineering\nShahjalal University of Science and Technology (SUST)\n\n🌐 Portfolio: https://rudra496.github.io/site\n\n🐙 GitHub: https://github.com/rudra496\n\n💼 LinkedIn: https://www.linkedin.com/in/rudrasarker\n\n📧 Email: rudrasarker130@gmail.com\n\n---\n\nBuilt for accessibility. 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