TypeMaster AI: A Multimodal AI-Powered Typing Tutor for Personalized Skill Acquisition

Proficiency in touch typing remains a critical com- petency in the digital era, yet traditional typing tutors rely on repetitive, static content that fails to sustain user engagement over extended sessions. This paper introduces TypeMaster AI, an advanced multimodal typing tutor that harnesses Large Language Models (LLMs) to deliver personalized and interactive learning. By integrating the Google Gemini 2.0 API with an OpenRouter failover gateway, the system provides: (i) on-demand lesson generation from any user-defined topic; (ii) multimodal content extraction from uploaded images and PDFs; (iii) real- time grammar correction for custom text; and (iv) an immersive Melody Typing mode that synthesizes musical notes via the browser’s Web Audio API. High-frequency keyboard events are handled through React 19’s concurrent rendering pipeline, ensuring sub-millisecond UI responsiveness at typing speeds exceeding 100 WPM. Informal user trials indicate a measur- able improvement in sustained practice duration compared to conventional fixed-text tutors. The live application is accessible at: https://learn-key-board-you-like.vercel.app/.