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| Format: | Recurso digital |
| Sprog: | engelsk |
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Zenodo
2025
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| Online adgang: | https://doi.org/10.5281/zenodo.17618682 |
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| _version_ | 1866902045842210816 |
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| author | Kalva, Ajay Kumar Namburu, Yogi Venkata Satyanarayana Karri, Jeevan Kumar Pentyala, Navyanth |
| author_facet | Kalva, Ajay Kumar Namburu, Yogi Venkata Satyanarayana Karri, Jeevan Kumar Pentyala, Navyanth |
| contents | <p>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.</p> <p>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.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_17618682 |
| institution | Zenodo |
| language | eng |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | "Personal Portfolio Builder Using MERN Stack With AI Integration" Kalva, Ajay Kumar Namburu, Yogi Venkata Satyanarayana Karri, Jeevan Kumar Pentyala, Navyanth MERN Stack Portfolio Builder Artificial Intelligence Web Application Automation MongoDB APIs ML DB <p>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.</p> <p>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.</p> |
| title | "Personal Portfolio Builder Using MERN Stack With AI Integration" |
| topic | MERN Stack Portfolio Builder Artificial Intelligence Web Application Automation MongoDB APIs ML DB |
| url | https://doi.org/10.5281/zenodo.17618682 |