"Personal Portfolio Builder Using MERN Stack With AI Integration"

This research paper presents the design and implementation of a Personal Portfolio Builder developed using the MERN stack (MongoDB, Express.js, React, and Node.js) with AI integration. The system enables users—especially students, professionals, and freelancers—to create dynamic, customizable portfolio websites without requiring technical expertise. The AI module enhances the process by providing intelligent content recommendations, optimized layouts, skill prioritization, and automated formatting based on best design practices.

The paper outlines the system architecture, functional and non-functional requirements, workflow equations, and module-wise design. UML diagrams and flowcharts demonstrate the interaction between the frontend, backend, database, and AI components. The results show that the platform significantly reduces portfolio creation time while improving overall quality and personalization. Future enhancements include NLP-based resume parsing, analytics, expanded templates, and AI chatbot support.