Andrei
79966a6a6d
Implemented comprehensive voice command understanding system: **Intent Classification:** - Feeding intent (bottle, breastfeeding, solid food) - Sleep intent (naps, nighttime sleep) - Diaper intent (wet, dirty, both, dry) - Unknown intent handling **Entity Extraction:** - Amounts with units (ml, oz, tbsp): "120 ml", "4 ounces" - Durations in minutes: "15 minutes", "for 20 mins" - Time expressions: "at 3:30 pm", "30 minutes ago", "just now" - Breast feeding side: "left", "right", "both" - Diaper types: "wet", "dirty", "both" - Sleep types: "nap", "night" **Structured Data Output:** - FeedingData: type, amount, unit, duration, side, timestamps - SleepData: type, duration, start/end times - DiaperData: type, timestamp - Ready for direct activity creation **Pattern Matching:** - 15+ feeding patterns (bottle, breast, solid) - 8+ sleep patterns (nap, sleep, woke up) - 8+ diaper patterns (wet, dirty, bowel movement) - Robust keyword detection with variations **Confidence Scoring:** - High: >= 0.8 (strong match) - Medium: 0.5-0.79 (probable match) - Low: < 0.5 (uncertain) - Minimum threshold: 0.3 for validation **API Endpoint:** - POST /api/voice/transcribe - Classify text or audio - GET /api/voice/transcribe - Get supported commands - JSON response with intent, confidence, entities, structured data - Audio transcription placeholder (Whisper integration ready) **Implementation Files:** - lib/voice/intentClassifier.ts - Core classification (600+ lines) - app/api/voice/transcribe/route.ts - API endpoint - scripts/test-voice-intent.mjs - Test suite (25 tests) - lib/voice/README.md - Complete documentation **Test Coverage:** 25 tests, 100% pass rate ✅ Bottle feeding (3 tests) ✅ Breastfeeding (3 tests) ✅ Solid food (2 tests) ✅ Sleep tracking (6 tests) ✅ Diaper changes (7 tests) ✅ Edge cases (4 tests) **Example Commands:** - "Fed baby 120 ml" → bottle, 120ml - "Nursed on left breast for 15 minutes" → breast_left, 15min - "Changed wet and dirty diaper" → both - "Napped for 45 minutes" → nap, 45min System converts natural language to structured tracking data with high accuracy for common parenting voice commands. 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
This is a Next.js project bootstrapped with create-next-app.
Getting Started
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