REFACTOR AI

This paper presents Refactor AI, an intelligent code analysis and refactoring assistant that combines AI-driven code understanding, automated suggestion generation, and a user-friendly web interface in a single platform. The system is implemented using the MERN stack for frontend and backend operations along with Python FastAPI for efficient AI-based code processing and analysis. It supports workflows such as code submission, real-time refactoring, explanation generation, and history tracking of previous results, enabling users to improve code quality and understand best practices. The platform also integrates secure authentication through Google Login (OAuth) and role-based access control to ensure safe and efficient user management. To enhance performance and reliability, the architecture follows a modular design with asynchronous communication between services, optimized API handling, and efficient request processing across Node.js and FastAPI components. Data persistence is managed using MongoDB, which stores user profiles, submissions, and refactoring outputs for future access and analysis. The AI module analyzes code structure, detects inefficiencies, and generates context-aware improvements based on programming standards.