LeetRevise: Spaced Repetition for Coding Interviews

Overview

LeetRevise implements the scientifically-proven spaced repetition learning technique to optimize coding interview preparation. The platform analyzes user performance patterns and automatically schedules problem reviews at optimal intervals to maximize retention.

Key Features

🧠 Intelligent Scheduling

• Adaptive Algorithm: Problems are scheduled based on your performance history
• Optimal Intervals: Reviews are timed to maximize long-term retention
• Difficulty Adjustment: The system adapts to your learning pace

📊 Performance Analytics

• Progress Tracking: Detailed statistics on solving patterns
• Weak Area Identification: Automatically identifies topics that need more practice
• Performance Trends: Visual charts showing improvement over time

🎯 Personalized Recommendations

• Smart Problem Selection: AI-powered recommendations based on your skill gaps
• Topic-Based Learning: Organized by data structures and algorithms
• Difficulty Progression: Gradual increase in problem complexity

Technical Implementation

Architecture

Frontend (React + TypeScript)
    ↓
API Layer (Node.js + Express)
    ↓
Database (MongoDB)
    ↓
Spaced Repetition Engine

Core Technologies

• Frontend: React 18, TypeScript, Tailwind CSS
• Backend: Node.js, Express.js, JWT Authentication
• Database: MongoDB with Mongoose ODM
• Algorithm: Custom spaced repetition implementation based on SM-2

Key Algorithms

Spaced Repetition Formula

The system uses a modified version of the SM-2 algorithm:

nextInterval = previousInterval * easeFactor
easeFactor = Math.max(1.3, easeFactor + (0.1 - (5 - quality) * (0.08 + (5 - quality) * 0.02)))

Where:

• quality: User’s performance rating (0-5)
• easeFactor: Difficulty multiplier for the problem
• previousInterval: Days since last review

User Impact

Statistics

• 35+ Active Users: Growing community of interview candidates
• Average Improvement: 40% increase in problem-solving speed
• Retention Rate: 85% of users continue using after first week
• Success Stories: Multiple users landed jobs at FAANG companies

User Testimonials

“LeetRevise helped me identify my weak areas and focus my practice. I went from struggling with medium problems to solving them confidently in interviews.” - Software Engineer at Google

Future Enhancements

Planned Features

• Mobile App: React Native implementation
• Video Solutions: Integrated explanation videos
• Peer Learning: Community features and discussions
• Mock Interviews: AI-powered interview simulation
• Company-Specific Prep: Tailored problem sets for different companies

Technical Roadmap

• Microservices Architecture: Break down monolithic backend
• Real-time Features: WebSocket integration for live features
• Advanced Analytics: Machine learning for better recommendations
• Performance Optimization: Implement caching and CDN

Getting Started

For Users

1. Sign Up: Create your free account
2. Assessment: Take initial skill assessment
3. Start Learning: Begin with recommended problems
4. Track Progress: Monitor your improvement over time

For Developers

# Clone the repository
git clone https://github.com/deep41/leetrevise

# Install dependencies
npm install

# Set up environment variables
cp .env.example .env

# Start development server
npm run dev

Contributing

We welcome contributions! Please see our Contributing Guide for details.

Areas for Contribution

• Algorithm Improvements: Enhance the spaced repetition algorithm
• UI/UX: Improve user interface and experience
• Performance: Optimize database queries and API responses
• Testing: Add comprehensive test coverage

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Built with ❤️ by Deepak to help developers ace their coding interviews.