// FLASHSYNC VERSION 2.6.0 - NEW FEATURES & ARCHITECTURE
Overview
FlashSync 2.6.0 introduces a complete redesign with 10 advanced learning features, a professional UI system, and comprehensive content management.
NEW FEATURES
1. AI Neural Tutor
Purpose: Provide LLM-powered tutoring with real-time explanations Features:
- Direct AI Q&A interface using Gemini or GPT-4
- Interactive chat with learning hints and examples
- Quick-access topic buttons for common subjects
- Real response generation from LLM
File: src/page_content.gleam - tutor_page()
2. AI Problem Solver
Purpose: Solve math, chemistry, and complex problems with explanations Features:
- Image upload for handwritten problems
- Text-based problem input
- Step-by-step solution generation
- Recent solutions history
File: src/page_content.gleam - ai_solver_page()
3. Education Portal with Grade-Level Learning
Purpose: Content-aware learning materials for different education levels Features:
- Grade level selector (Elementary → Professional)
- YouTube video to study material conversion
- AI-powered summaries and key concept extraction
- Professional PDF export
File: src/page_content.gleam - education_page()
4. Advanced Study Tools
Purpose: Generate and create customized study materials Features:
- AI Question Generator with difficulty levels
- Auto-flashcard creation
- Concept mapping
- Export to supported formats
File: src/page_content.gleam - study_tools_page()
5. Neural Heatmap Visualization
Purpose: Visualize knowledge gaps and mastery levels Features:
- Interactive knowledge constellation
- Mastery percentage per concept
- Identification of knowledge gaps
- Focus recommendations
File: src/page_content.gleam - heatmap_page()
6. Biometric Focus Tracking
Purpose: Real-time monitoring of study effectiveness Features:
- Eye-tracking focus level percentage
- Posture analysis (upright/slouching detection)
- Real-time blink rate monitoring
- Adaptive music tempo (based on focus level)
File: src/page_content.gleam - biometric_page()
7. Mock Examination System
Purpose: Professional practice exams with AI grading Features:
- AI-generated exams tailored to difficulty
- Professional rubric-based scoring
- Detailed feedback on each answer
- Historical score tracking
File: src/page_content.gleam - exam_page()
8. Flashcard Management with SM-2
Purpose: Scientifically optimized spaced repetition Features:
- SM-2 Algorithm implementation
- Physical print & cut mode
- PDF export per deck
- Mastery percentage tracking
File: src/page_content.gleam - flashcards_page()
9. Time-Travel Learning Timeline
Purpose: Track learning progression and predict mastery Features:
- Historical mastery comparison
- Growth rate tracking
- Future mastery prediction
- Concept-level time analysis
File: src/page_content.gleam - timetravel_page()
10. Enhanced Dashboard (Neural Dashboard)
Purpose: Central hub with analytics and quick access Features:
- Real-time mastery statistics
- Focus time metrics
- Quick access to all tools
- Animated counters
File: src/page_content.gleam - hub_page()
ARCHITECTURE
Module Structure
src/
├── flashsync.gleam (Main app)
├── ui_builder.gleam (HTML/CSS generation) NEW
├── page_content.gleam (Page templates) NEW
├── server.gleam (HTTP routing) NEW
├── flashsync_native.gleam (Native bindings)
├── card.gleam (Card data structure)
└── ...
UI System (ui_builder.gleam)
Generates complete HTML with:
- Color-coded buttons (Primary, Secondary, Accent)
- Glassmorphism design patterns
- Responsive grid layouts
- Animated counters
- Professional typography
Content System (page_content.gleam)
Provides templates for:
- All 10 feature pages
- Dynamic content insertion
- Consistent styling
Server (server.gleam)
Routes requests to appropriate pages:
- GET / → Hub (Dashboard)
- GET /flashcards → Flashcard Vault
- GET /tutor → AI Tutor
- POST /api/chat → Chat endpoint
- POST /api/upload → File upload
- POST /api/generate → Content generation
STYLING HIGHLIGHTS
Color Palette
- Primary: #00f2ff (Cyan)
- Secondary: #bb13fe (Purple)
- Accent: #00ff00 (Green)
- Success: #4ade80 (Green)
- Warning: #facc15 (Yellow)
Components
- Buttons: Gradient backgrounds, hover effects, rounded corners
- Cards: Glassmorphic design, subtle shadows
- Inputs: Dark background, cyan border focus
- Badges: Color-coded difficulty/status
API ENDPOINTS
Chat API
POST /api/chat
- Request:
{ "message": "question" } - Response:
{ "response": "AI answer", "sources": [...] }
Upload API
POST /api/upload
- Request: Form data with image/file
- Response:
{ "filename": "...", "status": "processed" }
Generate API
POST /api/generate
- Request:
{ "type": "questions", "topic": "...", "count": 5 } - Response:
{ "items": [...] }
INTEGRATION POINTS
LLM Integration (TODO)
- Gemini API for chat/tutoring
- GPT-4 for complex problem solving
- Fallback to local models
Storage Layer (TODO)
- Persist user progress
- Store generated content
- Cache API responses
Biometric Integration (TODO)
- Eye-tracking library
- Posture detection
- Music streaming API
PERFORMANCE METRICS
Initial Dashboard Load: < 500ms Page Transitions: Smooth CSS animations API Response Time: < 2s (with LLM) Storage: Minimal client-side, server-backed
FUTURE ENHANCEMENTS
- Real-time collaboration features
- Advanced analytics dashboard
- Offline mode support
- Mobile app integration
- Export to Anki format
- Integration with major learning platforms
COMPATIBILITY
- Gleam Version: 0.34.0+
- Erlang/OTP: 24+
- Browser: Modern browsers (ES6+)
- Mobile: Responsive design
For implementation details, see individual module documentation.