International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

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Volume 8 Issue 2
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AI-Enhanced Interactive Portfolio using Next.js, OpenRouter, and Qdrant

Author(s) Swathi Damodharan, Shakila Siddavatam
Country India
Abstract In today's competitive job market, personal portfolio websites have become essential tools for students and professionals to showcase their skills, projects, and achievements. However, most existing portfolio platforms are static and lack intelligent features that can personalize content or provide insights aligned with individual career goals. This project proposes the development of an AI-enhanced personal portfolio website that leverages Natural Language Processing (NLP) techniques to make portfolios more dynamic, interactive, and informative.
The system integrates NLP to automatically extract key information from resumes, generate professional summaries, identify skill gaps, and offer personalized recommendations. Additionally, a built-in chatbot provides instant responses to portfolio queries, enhancing engagement and accessibility for recruiters. The project uses Python-based NLP libraries such as SpaCy and transformers for text processing, and includes modules for skill analysis using similarity measures and topic modeling.
A review of existing research and tools reveals significant gaps in user interactivity, intelligent automation, and real-time feedback in portfolio platforms. By addressing these limitations, the proposed solution stands out by offering a smart, self-improving, and career-oriented digital presence tailored to the needs of modern tech professionals. This portfolio system has potential applications in recruitment, academic profiling, and personal branding, offering a new standard for AI-integrated digital portfolios.
Keywords Artificial Intelligence, Natural Language Processing, AI Chatbot, Semantic Search, Vector Database
Field Computer
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-04-01
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E-ISSN 2582-2160
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