NeuraLint: AI-Powered Code Analysis Platform 🧠

🚀 Features

NeuraLint is a cutting-edge code analysis platform that leverages artificial intelligence to provide comprehensive code reviews and suggestions. It helps developers write better, more secure, and more performant code.

Key Features

• 🔍 Real-time Code Analysis

  • Instant feedback on code quality
  • Support for multiple programming languages
  • AI-powered suggestions for improvements

• 🛡️ Security Scanning

  • Detection of common vulnerabilities (XSS, SQL Injection, etc.)
  • OWASP Top 10 compliance checks
  • CWE mapping for identified issues

• ⚡ Performance Optimization

  • Identification of performance bottlenecks
  • Resource usage analysis
  • Optimization suggestions with estimated improvements

• 📚 Best Practices

  • Language-specific recommendations
  • Industry-standard coding patterns
  • Automated style guide enforcement

🛠️ Technology Stack

Frontend

• React 18 with TypeScript for robust type safety
• Tailwind CSS for modern, responsive design
• Vite for lightning-fast development experience
• React Router for seamless navigation
• Axios for API communication
• Lucide React for beautiful icons

Backend

• FastAPI for high-performance API endpoints
• SQLAlchemy for database operations
• OpenAI GPT-4 integration for AI analysis
• PostgreSQL for reliable data storage
• Redis for caching and performance

🏗️ Architecture

graph LR
    A[React Frontend] --> B[FastAPI Backend]
    B --> C[OpenAI GPT-4]
    B --> D[PostgreSQL]
    B --> E[Redis Cache]

Loading

🚀 Getting Started

1. Clone the repository

   git clone https://github.com/yourusername/neuralint.git
   cd neuralint

2. Install dependencies

   # Frontend
   npm install
   
   # Backend
   python -m pip install -r backend/requirements.txt

3. Set up environment variables

   # Create .env file in backend directory
   cp backend/.env.example backend/.env
   # Add your OpenAI API key and other credentials

4. Start the development servers

   # Frontend
   npm run dev
   
   # Backend
   npm run backend:dev

🌟 Key Features Implementation

AI-Powered Analysis

// Example of AI integration for code analysis
const analyzeCode = async (code: string, language: string): Promise<CodeAnalysisResult> => {
  const response = await axios.post('/api/analyze', { code, language });
  return response.data;
};

Real-time Security Scanning

class SecurityScanner:
    def scan(self, code: str, language: str) -> List[SecurityIssue]:
        # Advanced security vulnerability detection
        return self.detect_vulnerabilities(code)

📊 Performance Metrics

• Frontend Performance

  • First Contentful Paint: < 1.5s
  • Time to Interactive: < 2s
  • Lighthouse Score: > 90

• Backend Performance

  • Average Response Time: < 200ms
  • Concurrent Users Supported: 1000+
  • Analysis Time: < 3s

🤝 Contributing

Contributions are welcome! Please read our Contributing Guidelines for details on our code of conduct and the process for submitting pull requests.

📝 Code Quality Standards

• 100% TypeScript coverage
• Comprehensive unit tests
• ESLint + Prettier configuration
• Automated CI/CD pipeline
• Code review requirements

📄 License

This project is licensed under the MIT License .

👨‍💻 Author

Created by [Mrityunjay Dwivedi]

---

Built with ❤️ using React, FastAPI, and AI