| # Crossword Puzzle Webapp - TODO List | |
| ## 🎯 Current Status: **Phases 1-5 Complete - Phase 6 (LLM Enhancement) In Progress** | |
| ## ✅ COMPLETED PHASES (Phases 1-5) | |
| ### ✅ Phase 1: Project Setup | |
| - [x] ✅ Set up project structure and initialize repositories | |
| - [x] Create frontend/ and backend/ directories | |
| - [x] Initialize package.json files | |
| - [x] Set up Git repository | |
| - [x] Modern ES modules configuration | |
| ### ✅ Phase 2: Data Management (JSON-based) | |
| - [x] ✅ Create data structure and seed data | |
| - [x] JSON-based word lists by topic (animals.json, science.json, etc.) | |
| - [x] 400+ words with quality clues | |
| - [x] In-memory caching system | |
| - [x] WordService for data management | |
| ### ✅ Phase 3: Core Algorithm Development | |
| - [x] ✅ Implement advanced crossword generation algorithm | |
| - [x] Smart word selection with crossword suitability scoring | |
| - [x] Sophisticated grid placement with intersection optimization | |
| - [x] Robust backtracking with timeout handling | |
| - [x] Grid optimization with automatic trimming | |
| ### ✅ Phase 4: Backend API | |
| - [x] ✅ Build comprehensive backend API endpoints | |
| - [x] GET /api/topics - List available topics | |
| - [x] POST /api/generate - Generate crossword puzzle | |
| - [x] POST /api/validate - Validate user answers | |
| - [x] GET /api/words/:topic - Get words for topic | |
| - [x] GET /api/health - Health check | |
| - [x] Error handling, rate limiting, CORS, security headers | |
| ### ✅ Phase 5: Frontend Components & Features | |
| - [x] ✅ Create all frontend components | |
| - [x] TopicSelector with multi-select buttons and visual feedback | |
| - [x] PuzzleGrid with CSS Grid layout and interactive cells | |
| - [x] ClueList component (Across/Down) with click navigation | |
| - [x] LoadingSpinner with generation progress messages | |
| - [x] PuzzleControls (Reset/Reveal/Generate buttons) | |
| ### ✅ Phase 6: Interactive Features | |
| - [x] ✅ Implement full interactive crossword functionality | |
| - [x] Click-to-focus input cells with keyboard navigation | |
| - [x] Real-time input validation and auto-uppercase | |
| - [x] Completion detection and success messages | |
| - [x] Solution reveal functionality | |
| ### ✅ Phase 7: User Experience & Styling | |
| - [x] ✅ Professional UI/UX with responsive design | |
| - [x] Mobile-responsive design (tested on iPhone 14) | |
| - [x] Professional color scheme and typography | |
| - [x] Loading states and error messages | |
| - [x] Smooth user interactions | |
| ### ✅ Phase 8: Deployment | |
| - [x] ✅ Deploy to production | |
| - [x] Docker containerization | |
| - [x] HuggingFace Spaces deployment | |
| - [x] Public access at https://vimalk78-abc123.hf.space/ | |
| - [x] Production environment configuration | |
| --- | |
| ## 🚀 CURRENT FOCUS: Phase 6 - LLM-Enhanced Dynamic Word Generation | |
| ### 🔄 IN PROGRESS | |
| #### 6.1 Core LLM Infrastructure | |
| - [ ] Install and configure HuggingFace dependencies | |
| - [ ] Add `@huggingface/inference` package to backend | |
| - [ ] Set up environment variables for HF API keys | |
| - [ ] Create HuggingFace account and configure access tokens | |
| - [ ] Implement EmbeddingWordService class | |
| - [ ] Create `backend/src/services/embeddingWordService.js` | |
| - [ ] Integrate `sentence-transformers/all-MiniLM-L6-v2` model | |
| - [ ] Implement semantic similarity search for word generation | |
| - [ ] Add error handling and fallback to static words | |
| #### 6.2 Dynamic Word Generation | |
| - [ ] Build topic-aware word generation system | |
| - [ ] Implement semantic word discovery using embeddings | |
| - [ ] Create word quality filtering for crossword suitability | |
| - [ ] Add word difficulty scoring and classification | |
| - [ ] Implement content validation (filter inappropriate words) | |
| - [ ] Enhance word selection algorithm | |
| - [ ] Integrate AI-generated words with existing crossword algorithm | |
| - [ ] Optimize word selection for better grid placement | |
| - [ ] Add intersection-aware word generation | |
| #### 6.3 LLM-Powered Clue Generation | |
| - [ ] Implement intelligent clue generation | |
| - [ ] Set up small language model for clue creation | |
| - [ ] Create template-based clue generation with topic context | |
| - [ ] Ensure crossword-appropriate clue formatting | |
| - [ ] Add clue quality validation and scoring | |
| - [ ] Enhance clue system | |
| - [ ] Context-aware clue generation based on topic | |
| - [ ] Difficulty-matched clue complexity | |
| - [ ] Multiple clue variations per word | |
| - [ ] A/B testing for clue quality | |
| #### 6.4 Advanced Caching Implementation | |
| - [ ] Design multi-tier cache architecture | |
| - [ ] L1: In-Memory (session cache) - existing ✅ | |
| - [ ] L2: Redis integration for cross-session caching | |
| - [ ] L3: Enhanced fallback to JSON files | |
| - [ ] Implement smart cache policies | |
| - [ ] Hybrid TTL + LRU eviction strategy | |
| - [ ] Usage-based scoring: `(frequency × 0.4) + (recency × 0.3) + (cost × 0.3)` | |
| - [ ] Adaptive TTL based on API response times and error rates | |
| - [ ] Topic-aware cache eviction with different TTL for popular vs niche topics | |
| #### 6.5 Performance & Reliability | |
| - [ ] Build robust fallback systems | |
| - [ ] Graceful degradation when LLM APIs fail | |
| - [ ] Offline mode with cached content | |
| - [ ] Error recovery and retry logic with exponential backoff | |
| - [ ] Health monitoring for LLM services | |
| - [ ] Optimize for performance | |
| - [ ] Batch word generation requests | |
| - [ ] Precompute popular topic combinations | |
| - [ ] Async generation with real-time progress indicators | |
| - [ ] Request deduplication and coalescence | |
| #### 6.6 Quality Control & Monitoring | |
| - [ ] Implement content validation systems | |
| - [ ] Word appropriateness filtering | |
| - [ ] Crossword intersection analysis for AI-generated words | |
| - [ ] Difficulty consistency checking | |
| - [ ] User feedback collection system | |
| - [ ] Add continuous improvement features | |
| - [ ] Analytics for AI-generated content quality metrics | |
| - [ ] Model performance monitoring | |
| - [ ] User rating system for generated puzzles | |
| - [ ] A/B testing framework for different models | |
| ### 🎯 FUTURE ENHANCEMENTS (Phase 7+) | |
| #### 7.1 Advanced Features | |
| - [ ] Custom topic support | |
| - [ ] User-defined topic combinations | |
| - [ ] Real-time topic similarity recommendations | |
| - [ ] Trending topic suggestions | |
| - [ ] Personal topic history | |
| - [ ] Enhanced difficulty system | |
| - [ ] AI-driven difficulty assessment | |
| - [ ] Personalized difficulty scaling | |
| - [ ] Learning curve adaptation | |
| - [ ] Challenge progression system | |
| #### 7.2 User Experience Improvements | |
| - [ ] Advanced UI features | |
| - [ ] Puzzle saving and sharing | |
| - [ ] User accounts and puzzle history | |
| - [ ] Social features (puzzle sharing, challenges) | |
| - [ ] Mobile app development | |
| #### 7.3 Analytics & Business Intelligence | |
| - [ ] User behavior analytics | |
| - [ ] Content performance metrics | |
| - [ ] API usage monitoring | |
| - [ ] Cost optimization analysis | |
| ## 📋 CURRENT SPRINT TASKS | |
| **Week 1-2 (Current)**: | |
| 1. Set up HuggingFace integration | |
| 2. Create EmbeddingWordService class | |
| 3. Implement basic dynamic word generation | |
| 4. Add Redis caching layer | |
| **Week 3-4**: | |
| 1. LLM clue generation system | |
| 2. Quality control and validation | |
| 3. Performance optimization | |
| 4. Comprehensive testing | |
| **Week 5-6**: | |
| 1. Advanced caching strategies | |
| 2. Error handling and fallbacks | |
| 3. User feedback collection | |
| 4. Production deployment of Phase 6 | |
| ## 🔗 Key Files Created ✅ | |
| - ✅ `backend/src/services/crosswordGenerator.js` - Advanced algorithm | |
| - ✅ `backend/src/controllers/puzzleController.js` - API handlers | |
| - ✅ `backend/src/services/wordService.js` - Data management | |
| - ✅ `frontend/src/hooks/useCrossword.js` - State management | |
| - ✅ `frontend/src/utils/gridHelpers.js` - Grid utilities | |
| - ✅ `frontend/src/styles/puzzle.css` - Professional styling | |
| - ✅ `backend/src/routes/api.js` - API routing | |
| - ✅ `Dockerfile` - Production deployment | |
| ## 🎯 Next Priority Tasks | |
| 1. **LLM Integration Setup** - HuggingFace API and embeddings | |
| 2. **Dynamic Word Generation** - Semantic similarity-based word discovery | |
| 3. **Advanced Caching** - Redis integration with smart eviction policies | |
| 4. **Quality Control** - Validation and feedback systems |