Copyright © 2026 Authors retain the copyright of this article. This article is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

@article{186985,
        author = {Madhura Kanse and Shubhangi Helkar and Ritu Kyadari and Pournima Lanjekar and Prof. Swati R. Bhatt},
        title = {AI Powered Resume Builder},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {6},
        pages = {7491-7496},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=186985},
        abstract = {The rapid advancement of Artificial Intelligence has revolutionized recruitment through intelligent resume-building systems that overcome key challenges in job applications. This survey reviews four AI-powered resume builders using NLP, ML, and transformer-based models such as BERT, RoBERTa, XLNet, and Google Gemini for automated content generation, keyword optimization, and ATS compatibility. These systems typically integrate Python-based backends (Flask/Django), React.js frontends, and MongoDB databases, leveraging NLP frameworks like SpaCy and Hugging Face Transformers for semantic alignment. Results show ATS pass rates improved by 40–90%, content readability by 85–93%, and resume creation time reduced by up to 60%. However, limitations persist, including small datasets, generic outputs, lack of domain-specific precision, and limited multilingual or platform integration. Overall, AI-driven resume builders mark a shift from static templates to intelligent, data-driven systems enhancing employability and job search efficiency while highlighting areas for further innovation.},
        keywords = {Artificial Intelligence, Resume Builder, Natural Language Processing (NLP), Machine Learning (ML), Transformer Models, BERT, RoBERTa, XLNet, Google Gemini, Applicant Tracking System (ATS), Flask, Django, React.js, MongoDB, Hugging Face, SpaCy, Automated Content Generation, Keyword Optimization, Employability.},
        month = {December},
        }