-
Notifications
You must be signed in to change notification settings - Fork 0
Home
The version as of June 7th 3PM is v1.8.4 any other version you see is a old document and has yet to be updated
The AI-Powered Intelligent Spaced Repetition Learning Platform
Welcome to the comprehensive wiki for FlashGenie v1.8.2! This wiki contains everything you need to know about using, developing, and understanding FlashGenie's revolutionary AI-powered learning features.
FlashGenie v1.8.2 is a cutting-edge intelligent learning platform that transforms traditional flashcard studying into an adaptive, personalized, and engaging experience. Powered by AI algorithms and grounded in cognitive science research, FlashGenie adapts to your learning patterns, predicts your progress, and optimizes your study sessions for maximum efficiency.
- Installation Guide - Step-by-step setup instructions
- Quick Start Tutorial - Your first 10 minutes with FlashGenie
- Basic Commands - Essential CLI commands to get you started
- Creating Your First Deck - Build your first flashcard collection
- Adaptive Study Sessions - Context-aware study planning
- Learning Velocity Tracking - Predictive analytics and mastery forecasting
- Contextual Learning Engine - Environment and device adaptation
- Knowledge Graph Visualization - Visual progress mapping
- Gamification System - Achievements, streaks, and motivation
- Content Recommendations - AI-powered learning suggestions
- Complete Command Reference - All CLI commands with examples
- Advanced Usage Patterns - Power-user techniques and workflows
- Data Management - Import, export, and backup strategies
- Customization Guide - Personalizing your learning experience
- Troubleshooting - Common issues and solutions
- Spaced Repetition Algorithm - How FlashGenie optimizes memory retention
- Difficulty Adjustment - Multi-factor difficulty calculation
- Cognitive Science Foundation - Research backing FlashGenie's methods
- Learning Analytics - Understanding your progress metrics
- Classroom Integration - Using FlashGenie in educational settings
- Student Progress Tracking - Monitoring learning outcomes
- Content Creation Best Practices - Designing effective flashcards
- Institutional Deployment - Large-scale implementation
- Architecture Overview - System design and components
- API Reference - Complete technical documentation
- Contributing Guide - How to contribute to FlashGenie
- Extension Development - Building plugins and extensions
- Testing Guide - Running and writing tests
- Configuration Options - All settings and preferences
- File Formats - Supported import/export formats
- Performance Optimization - Tips for large datasets
- Security and Privacy - Data protection and privacy features
- FAQ - Frequently asked questions
- Adaptive Study Planning: AI creates optimal study sessions based on your context
- Predictive Analytics: Forecasts learning progress and mastery timelines
- Context Awareness: Adapts to your environment, device, and attention level
- Smart Difficulty: Multi-factor difficulty adjustment with performance analysis
- Learning Velocity: Track cards per day, mastery rate, and study efficiency
- Progress Visualization: Knowledge graphs showing concept relationships
- Performance Insights: Detailed analytics with trends and recommendations
- Mastery Prediction: AI-powered timeline forecasts with confidence intervals
- Achievement System: 20+ achievements across different categories
- Study Streaks: Daily, weekly, accuracy, and perfect streaks
- Level Progression: Earn points and level up as you learn
- Progress Rewards: Visual feedback and celebration of milestones
- AI Content Suggestions: Intelligent recommendations for new flashcards
- Gap Analysis: Identifies missing knowledge and prerequisite concepts
- Related Topic Discovery: Suggests related topics for expanded learning
- Auto-tagging: Intelligent content analysis with hierarchical organization
# Install FlashGenie
git clone https://github.com/himent12/FlashGenie.git
cd FlashGenie
pip install -r requirements.txt
# Create your first deck
python -m flashgenie create "My Learning Journey"
# Get an adaptive study plan
python -m flashgenie plan "My Learning Journey" --time 20 --energy 3
# Start learning!
python -m flashgenie quiz "My Learning Journey"- Quick Start Tutorial - Perfect for new users
- Adaptive Study Sessions - Learn about AI-powered study planning
- Complete Command Reference - Comprehensive CLI guide
- Learning Velocity Tracking - Understand your learning analytics
- Gamification System - Explore achievements and motivation features
- GitHub Repository: FlashGenie on GitHub
- Issues & Bug Reports: GitHub Issues
- Feature Requests: GitHub Discussions
- Documentation: Official Docs
FlashGenie is open source software licensed under the MIT License. We welcome contributions from the community!
Ready to revolutionize your learning? Start with the Quick Start Tutorial and discover the power of AI-enhanced spaced repetition! 🧞♂️✨
Last updated: June 2025| FlashGenie v1.8.2