🚀 AlgoVision AI

AI-Powered DSA Learning Platform with Advanced Visualization Engine

AlgoVision AI is a premium, production-ready full-stack platform that revolutionizes Data Structures and Algorithms learning through AI-powered analysis, beautiful step-by-step visualizations, mock interviews, gamification, and personalized learning paths.

✨ Key Features

🤖 AI-Powered Analysis

Deep Problem Analysis: Comprehensive breakdown of any LeetCode problem
Pattern Recognition: Automatically identifies algorithm patterns
Multiple Approaches: Brute force, optimized, and best solutions
Code Review: AI-powered bug detection and optimization suggestions
Interview Simulation: Practice with AI interviewer for FAANG prep

🎨 Visualization Engine

Array Algorithms: Sliding window, two pointer, sorting
Tree Traversals: BFS, DFS with animated node highlighting
Graph Algorithms: Pathfinding, connectivity, cycles
Dynamic Programming: DP table visualization with state transitions
Linked Lists: Animated pointer movements and operations
Stack & Queue: Vertical stack and horizontal queue visualizations
Playback Controls: Play, pause, step-by-step, speed adjustment
Keyboard Shortcuts: Space (play/pause), arrows (navigate), R (reset)

📊 Learning & Progress

Progress Analytics: Comprehensive dashboard with charts
Weak Topic Detection: AI identifies areas needing improvement
Interview Readiness Score: 0-100 rating based on your preparation
Streak Tracking: Daily challenge streaks with rewards
XP & Leveling System: Earn experience points and level up
Badge System: Unlock achievements (Array Master, DP Expert, etc.)
Leaderboard: Compete with other learners globally

🎯 Interactive Features

Daily Challenge: New problem every day with bonus XP
Contest Mode: Timed contests with rankings and prizes
Mock Interviews: AI-conducted technical interviews
Bug Detector: Submit code for AI review
Hint System: Progressive hints (Level 1-4)
Test Case Generator: Auto-generate edge cases
Dry Run Generator: Step-by-step code execution
Flashcards: Spaced repetition for revision
Notes System: Save personal notes and insights

🏢 Additional Features

Company-wise Problems: Filter by Google, Amazon, Microsoft, Meta
Topic Roadmap: Structured learning path from basics to advanced
Code Playground: Multi-language code editor
Concept Explanations: Deep dives into DSA concepts
Approach Comparison: Side-by-side algorithm comparison
Related Problems: AI-recommended similar problems

🏗️ Tech Stack

Frontend

React 18 - Modern UI library with hooks
Vite - Lightning-fast build tool
Tailwind CSS - Utility-first CSS framework
Framer Motion - Smooth animations
React Router v6 - Client-side routing
Zustand - Lightweight state management
Axios - HTTP client
React Hot Toast - Beautiful notifications
Recharts - Analytics charts
React Syntax Highlighter - Code highlighting

Backend

Node.js + Express - RESTful API server
MongoDB + Mongoose - NoSQL database with ODM
OpenAI API (GPT-4) - AI-powered features
JWT - Secure authentication
Bcrypt - Password hashing
Helmet - Security headers
Rate Limiting - DDoS protection
Morgan - HTTP logging

DevOps & Tools

Docker - Containerization support
Git - Version control
ESLint - Code linting
Prettier - Code formatting

📁 Project Structure

algovision-ai/
├── frontend/
│   ├── src/
│   │   ├── components/
│   │   │   ├── analytics/        # Charts and stats
│   │   │   ├── common/            # Reusable components
│   │   │   ├── interview/         # Mock interview UI
│   │   │   ├── layout/            # Layout components
│   │   │   ├── problem/           # Problem solver UI
│   │   │   ├── ui/                # UI primitives
│   │   │   └── visualization/     # Visualization engine
│   │   ├── pages/                 # Route pages (18 pages)
│   │   ├── services/              # API services
│   │   ├── store/                 # Zustand stores
│   │   ├── styles/                # Global CSS
│   │   └── utils/                 # Helper functions
│   ├── public/                    # Static assets
│   └── package.json
│
├── backend/
│   ├── config/                    # Configuration files
│   ├── controllers/               # Route controllers (8)
│   ├── middleware/                # Custom middleware
│   ├── models/                    # Database models (15)
│   ├── routes/                    # API routes
│   ├── services/                  # Business logic
│   │   ├── aiService.js          # 12 AI features
│   │   └── scraperService.js     # LeetCode scraper
│   ├── utils/                     # Helper utilities
│   └── server.js                  # Entry point
│
├── SETUP_GUIDE.md                 # Detailed setup instructions
├── DEPLOYMENT.md                  # Deployment guide
└── README.md                      # This file

🚀 Quick Start

Prerequisites

Node.js 18+ and npm
MongoDB 8.0+
OpenAI API key (optional, for AI features)

Installation

Clone the repository

git clone <repository-url>
cd algovision-ai

Install dependencies

# Backend
cd backend
npm install

# Frontend
cd ../frontend
npm install

Configure environment variables

Backend .env:

NODE_ENV=development
PORT=5000
MONGODB_URI=mongodb://localhost:27017/algovision-ai
JWT_SECRET=your_super_secret_jwt_key
OPENAI_API_KEY=your_openai_api_key_here

Frontend .env:

VITE_API_URL=http://localhost:5000/api

Start MongoDB

# Windows
net start MongoDB

# macOS/Linux
sudo systemctl start mongod

Start the servers

Terminal 1 (Backend):

cd backend
npm run dev

Terminal 2 (Frontend):

cd frontend
npm run dev

Access the application

Frontend: http://localhost:3000
Backend API: http://localhost:5000
Health Check: http://localhost:5000/health

📖 API Documentation

Authentication

POST   /api/auth/register          Register new user
POST   /api/auth/login             Login user
GET    /api/auth/profile           Get user profile
PUT    /api/auth/profile           Update profile
POST   /api/auth/logout            Logout user

Problems

POST   /api/problems/scrape        Scrape LeetCode problem
POST   /api/problems/analyze       Analyze problem with AI
GET    /api/problems/:id           Get problem details
GET    /api/problems/user          Get user's problems
GET    /api/problems/:id/visualization   Get visualization data
GET    /api/problems/:id/solutions       Get code solutions
POST   /api/problems/:id/hints           Get progressive hints

AI Features

POST   /api/ai/hints               Generate hints
POST   /api/ai/detect-bugs         Detect bugs in code
POST   /api/ai/test-cases          Generate test cases
POST   /api/ai/dry-run             Execute dry run
POST   /api/ai/explain-concept     Explain DSA concept
POST   /api/ai/chat                Chat with AI tutor
POST   /api/ai/compare-approaches  Compare algorithms

Gamification

GET    /api/gamification/badges           Get user badges
GET    /api/gamification/leaderboard      Get leaderboard
GET    /api/gamification/daily-challenge  Get today's challenge
POST   /api/gamification/daily-challenge/complete  Complete challenge

Interview

POST   /api/interview/start        Start interview session
POST   /api/interview/:id/answer   Submit answer
GET    /api/interview/history      Get interview history
POST   /api/interview/:id/end      End interview

For complete API documentation, see API.md

🎨 UI Design

Color Palette

Background: #0B1120 - Deep dark blue
Cards: #111827 - Dark gray
Borders: #1F2937 - Medium gray
Primary: Orange-Red Gradient (#FF6B35 → #F7931E)
Success: Green (#22c55e)
Warning: Yellow (#f59e0b)
Error: Red (#ef4444)

Design Principles

Premium Dark Theme: Sleek, modern interface
Glassmorphism: Subtle blur and transparency effects
Smooth Animations: Framer Motion for fluid transitions
Responsive Layout: Mobile-first design
Accessibility: WCAG 2.1 AA compliant
Typography: Inter font for UI, Fira Code for code

🔧 Configuration

Backend Configuration

MongoDB Indexes:

User email (unique)
Problem difficulty, tags, companies
Progress userId, date
Submissions userId, problemId

Rate Limiting:

100 requests per 15 minutes per IP
Configurable via environment variables

Security:

Helmet for HTTP headers
CORS configured for frontend domain
JWT token expiration: 30 days
Password hashing with bcrypt (12 rounds)

Frontend Configuration

Build Optimization:

Code splitting by route
Lazy loading for images
Tree shaking for unused code
Minification and compression

🧪 Testing

Manual Testing Checklist

✅ Authentication Flow

User registration
Login with credentials
Profile update
Logout

✅ Problem Solver

✅ Visualization

✅ AI Features

✅ Gamification

✅ Contest Mode

Enter ongoing contest
Submit solutions
Timer countdown
Score calculation

📊 Performance

Metrics

Page Load Time: < 2s
Time to Interactive: < 3s
First Contentful Paint: < 1.5s
API Response Time: < 500ms (avg)
Visualization FPS: 60fps

Optimization Techniques

React.memo for expensive components
useCallback/useMemo for optimization
Virtual scrolling for large lists
Debouncing for search inputs
Image lazy loading
Code splitting

🐛 Troubleshooting

Common Issues

Backend won't start

# Check if port 5000 is in use
netstat -ano | findstr :5000
# Kill the process or change PORT in .env

Frontend build fails

# Clear cache and reinstall
rm -rf node_modules package-lock.json
npm install

MongoDB connection error

# Start MongoDB
net start MongoDB  # Windows
sudo systemctl start mongod  # Linux

AI features not working

Check OPENAI_API_KEY in backend/.env
Verify API key at https://platform.openai.com
Check API usage limits

For detailed troubleshooting, see SETUP_GUIDE.md

🚢 Deployment

Production Checklist

For detailed deployment instructions, see DEPLOYMENT.md

🤝 Contributing

We welcome contributions! Please follow these steps:

Fork the repository
Create a feature branch (git checkout -b feature/AmazingFeature)
Commit changes (git commit -m 'Add AmazingFeature')
Push to branch (git push origin feature/AmazingFeature)
Open a Pull Request

Code Style

Use ESLint configuration
Follow Airbnb style guide
Write meaningful commit messages
Add JSDoc comments for functions
Update documentation for new features

📝 License

This project is licensed under the MIT License - see the LICENSE file for details.

👥 Authors

AlgoVision AI Team

Lead Developer: [Your Name]
UI/UX Designer: [Designer Name]
AI Engineer: [AI Engineer Name]

🙏 Acknowledgments

OpenAI for GPT-4 API
LeetCode for problem inspiration
React community for excellent libraries
All contributors and testers

📮 Contact & Support

Website: https://algovision-ai.com
Email: support@algovision-ai.com
Discord: https://discord.gg/algovision
Twitter: @AlgoVisionAI

🗺️ Roadmap

Version 1.1 (Q2 2026)

Code execution sandbox
Real-time collaboration
Video explanations
Mobile app (React Native)

Version 1.2 (Q3 2026)

Premium subscription tier
Personalized learning paths
Live coding sessions
Company-specific prep tracks

Version 2.0 (Q4 2026)

System design module
ML algorithm visualizations
Peer code review
Certification program

📈 Project Stats

Total Lines of Code: ~15,000
Components: 50+
API Endpoints: 40+
Database Models: 15
AI Features: 12
Visualization Types: 8
Pages: 18

Built with ❤️ for the DSA learning community

Quick Links

⭐ If you find this project helpful, please star it on GitHub!

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
.github		.github
backend		backend
frontend		frontend
k8s		k8s
.dockerignore		.dockerignore
.env.example		.env.example
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
docker-compose.yml		docker-compose.yml

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