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{180556,
        author = {Umaama Ayyub and Shifa Tahreem and Sofia Shireen and Dr. P.Vishvapathi},
        title = {NEXTSTEP CAREERS – A JOB BOARD SYSTEM},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {2259-2264},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=180556},
        abstract = {In the evolving landscape of digital recruitment, efficient platforms are essential to connect job seekers with potential employers. Next Step Careers is a full-stack web application developed to streamline the recruitment process. It allows candidates to create profiles, upload résumés, and apply for job postings, while recruiters can post jobs, view candidate applications, and assess profile fit. The system incorporates intelligent filtering, a résumé parser, and a hybrid fit score powered by machine learning algorithms (Logistic Regression, Naive Bayes) and rule-based logic. It also offers personalized job recommendations using collaborative filtering. The platform demonstrates robust integration of full-stack development with artificial intelligence to enhance recruitment outcomes.},
        keywords = {Admin dashboard, authentication, job board, job search platform, résumé parsing, web application},
        month = {June},
        }