Maestrplay
A full-stack AI music learning app for iOS and Android. We built the complete product — a personalized AI tutor with persistent learner memory, real-time streaming sessions, and a gamified engagement system backed by a NestJS API.
what we delivered
Most music learners quit because they lack consistent, personalized feedback. We built an AI tutor that remembers every session — matching the depth of a human teacher at a fraction of the cost, always available on mobile.
persistent AI tutor (Mai)
Mai maintains a per-user model — skill level, learning goals, emotional patterns, and practice history. Every session starts with full context, so the AI responds as if it has been teaching the student for months, not minutes.
real-time streaming sessions
Practice sessions stream responses immediately — no waiting for a full reply. Queue-backed architecture keeps sessions fast and consistent even under concurrent load.
skill graph & progress tracking
Learner mastery is tracked across a structured skill tree and visualized in the app. Both the learner and the AI tutor share the same view of progress — sessions target weak areas automatically.
gamification & retention loops
Daily streaks, milestone badges, and a live daily goal bar drive consistent practice habits. Milestone logic triggers automatically at session end — no manual configuration needed.
personalized greetings
Every app open generates a unique greeting drawn from learner memory and recent milestones. No two sessions feel the same — a small detail that has an outsized impact on retention.
what this demonstrates
Maestrplay is a full-scope consumer app build — product design, cross-platform mobile, AI integration, and a production-grade backend. Here's what this project shows we can do for you.
Cross-platform mobile
iOS and Android from a single Expo/React Native codebase — one team, one release process, full platform reach.
AI & LLM integration
Streaming responses, prompt engineering with persistent user context, and AI pipelines that feel native inside a mobile app.
Personalization at scale
Per-user memory, dynamic content generation, and context-aware AI responses that adapt to each individual user.
Gamification systems
Streaks, badges, goals, and milestones built as first-class product features — not afterthoughts — to drive long-term retention.
Scalable backend architecture
NestJS API with Supabase Auth, PostgreSQL, Redis caching, and BullMQ queues — designed to handle concurrent real-time workloads.
Monorepo & shared infrastructure
Turborepo with shared TypeScript types and configs across mobile and backend — faster iteration, no duplication.