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Talk to it, type to it, get gentle corrections, and build a streak.\n\n## Features\n\n- **Voice-first conversation** — speak German, get a warm response back in German (STT via Web Speech API, TTS via CambAI)\n- **Daily Mission** — choose from 3 short speaking prompts each day (Morgen-Check, Restaurant, Wochenende, Mini-Story)\n- **Gentle evaluation** — any genuine attempt counts; corrections arrive as \"Man sagt besser…\"\n- **Fluency Stages** — 5-stage progression (🌱 Schüchtern → 🌿 Versucht es → 🌊 Komfortabel → 🔥 Selbstbewusst → 🚀 Fluentoo Level) with XP, streak multiplier, and level-up animations\n- **Emotion engine** — the avatar laughs, smiles, gets excited, or looks a bit sad based on your performance; emoji particles fly on big wins\n- **45-minute reminder** — a nudge to keep the habit alive\n- **Obsidian integration** — point it at your vault and your vocabulary gets folded into the tutor's context\n\n## Tech Stack\n\n- **Electron 31** — frameless transparent always-on-top window\n- **Featherless AI** (`Qwen/Qwen2.5-72B-Instruct`) — German tutor LLM, OpenAI-compatible\n- **Web Speech API** — browser-native speech recognition (primary STT)\n- **CambAI** — TTS with a real German voice\n- **electron-store** — persisted settings and progress\n- **Vanilla HTML/CSS/JS** — no framework, all the avatar/UI built with CSS `conic-gradient` and keyframe animations\n\n## Setup\n\n```bash\nnpm install\ncp .env.example .env   # add your API keys\nnpm start\n```\n\nKeys required:\n- `FEATHERLESS_API_KEY` — for the LLM\n- `CAMB_API_KEY` + `CAMB_VOICE_ID` — for TTS (optional; falls back to browser speech)\n- `GROQ_API_KEY` — optional remote STT fallback\n\nOn first launch macOS will ask for microphone access.\n\n## Brand\n\n**Warm · Curious · Precise · Patient** — fluency is not memorised, it's inhabited.\n\n## License\n\nMIT\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaiser-data%2Ffluento","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fkaiser-data%2Ffluento","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fkaiser-data%2Ffluento/lists"}