Augen: AI Vision Assistant for Accessibility

Augen is a small, AI‑based vision assistant to support accessibility. It uses computer vision and simple voice features to describe a scene and help with basic navigation. It’s a work in progress and improves slowly with feedback.

Key Features

• Real-time Scene Analysis: Advanced AI models analyze camera feeds to describe surroundings in natural language
• Voice Interaction: Fully accessible voice-based interface with speech recognition and text-to-speech
• Multilingual Support: Available in 12 languages to serve a global audience
• Accessibility-First Design: Built from the ground up with WCAG 2.1 AA compliance
• Cross-Platform: Works seamlessly on web browsers with future mobile app planned

Technology Stack

The project leverages modern web technologies and AI services:

• Frontend: Progressive Web App (PWA) architecture for offline capability
• AI Vision: Integration with common computer vision APIs
• Speech Processing: Web Speech API for browser-native voice interaction
• Accessibility: Screen reader compatibility and keyboard navigation
• Internationalization: i18n framework supporting RTL languages

Goals

Augen tries to be useful in everyday moments:

1. Independence: Enabling users to navigate environments without assistance
2. Inclusion: Creating opportunities for participation in digital activities
3. Education: Serving as a learning tool for spatial awareness
4. Community: Building connections within the accessibility community

Current Status

Actively maintained in small iterations. Feedback helps guide what to fix next. You can try a live demo at augen.ignacio.tech.