We propose LexiLeague, a web-based platform that transforms English learning into competitive 1v1 battles using real-time challenges modeled on KET, PET, FCE, and IELTS tasks. The final product combines three core elements: a real-time match engine (Socket.IO/WebSockets), a hybrid question system using both curated exam-style items and AI-generated prompts, and an adaptive feedback system that adjusts difficulty and provides instant corrections. Built with HTML/CSS/JS, Firebase/Supabase, and OpenAI API, its objective is to make language learning more engaging, measurable, and accessible. The implementation plan includes: (1) MVP with matchmaking, question bank, and scoring; (2) user testing and UX refinement; (3) AI integration for dynamic question generation; (4) analytics dashboard for teachers; (5) pilot launch and scaling. Required resources include a developer, UX designer, researcher, test users, cloud hosting, and API credits. Foreseen barriers include AI-generated question quality, latency in real-time matches, and potential cheating; these are addressed through human-reviewed templates, regional servers, and integrity checks. LexiLeague enhances digital education by turning passive practice into active, competitive learning with immediate feedback and progress tracking, making students practice more frequently and effectively. Success can be measured through user engagement (DAU/WAU), retention, accuracy improvement over time, pre/post test gains, teacher feedback, and overall match completion rates.
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