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{192010,
        author = {Bellary Sai Laxman and Mala Dora Babu and Pothu Kishore and Bajari Banu Prakash and Dr. K. Arjun and Dr.C.V.Madhusudan Reddy},
        title = {JOB RECOMMENDATION SYSTEM USING NLP},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {9},
        pages = {1-5},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=192010},
        abstract = {In today’s digital era, finding the right job that aligns with a candidate’s skills, interests, and qualifications remains a major challenge. Traditional job portals rely on keyword matching, often leading to irrelevant recommendations. Career Compass introduces an enhanced job recommendation system leveraging Natural Language Processing (NLP) and Machine Learning (ML) to improve resume–job alignment. Additionally, it integrates a Technical Test Module that evaluates a candidate’s practical knowledge through multiple-choice questions and coding challenges. This feature allows for personalized recommendations based on both stated skills and verified abilities. Experimental results show improved accuracy and user satisfaction compared to traditional systems.},
        keywords = {Job Recommendation; NLP; Machine Learning; Resume Parsing; Technical Test; Career Guidance.},
        month = {January},
        }