Lingua.ly
Immersion-based language learning through real-world web content and context-aware SRS.
AI-Driven Augmented Reality for Immersive Training and Serious Games
ARLearn AI is a specialized platform that bridges the gap between traditional learning management systems and immersive augmented reality experiences. Originally developed as an open-source initiative, the 2026 iteration integrates sophisticated generative AI layers to facilitate the rapid creation of 'serious games' and situational training simulations. The architecture is built on a mobile-first framework that utilizes geospatial data, QR triggers, and image recognition to overlay digital pedagogy onto physical environments. Technically, the platform employs an LLM-orchestration engine to generate dynamic NPC (Non-Player Character) interactions and adapt mission difficulty in real-time based on learner performance telemetry. Its market positioning focuses on high-stakes field training—such as emergency response, industrial maintenance, and medical triage—where contextual awareness is critical. By 2026, ARLearn AI has expanded its capabilities to include automated scenario generation, allowing instructors to input learning objectives and automatically receive a fully mapped AR quest with AI-generated assets, reducing the content creation lifecycle from weeks to hours.
Uses RAG (Retrieval-Augmented Generation) to convert PDF training manuals into interactive AR quest lines.
Immersion-based language learning through real-world web content and context-aware SRS.
Hybrid language mastery through pedagogical technology and expert human oversight.
Master vocabulary 10x faster with AI-driven spaced repetition and big-data linguistics.
Accelerate Spanish and English mastery through Lingu, an adaptive AI tutor that personalizes every lesson.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
LLM-driven dialogue system where NPCs respond to voice or text input based on 'personality' parameters.
Combines GPS, GLONASS, and Galileo data with centimeter-level accuracy via RTK support.
Streams data from wearables (Apple Watch/Garmin) to adjust AR content based on user heart rate (stress levels).
Real-time state synchronization using WebSockets for collaborative team missions.
Cached asset delivery and local SQLite database for missions in areas with zero connectivity.
Full compliance with Learning Tools Interoperability standards for deep LMS integration.
Simulating high-stress fire scenarios in a physical building without actual fire hazards.
Registry Updated:2/7/2026
Low engagement during new hire orientation in large campus settings.
Training medical students to prioritize patients in a mass-casualty event.