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@article{196296,
        author = {Mahesh Nikas and Mayur Ughade and Pavan Rathod and Yograj Patil and Vaishnavi Thombare and Rohan Bhale},
        title = {AI-Powered Resume Filtering and Ranking System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {3493-3498},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=196296},
        abstract = {AI-Powered Resume Filtering and Ranking System is a large web-based platform that provides smart, automated candidate screening and ranking to meet the needs of modern hiring. The technology pulls out important candidate information, such as their education, skills, work history, certificates, and contact information, so it can give accurate recommendations that are specific to each employer. It looks at a wide range of candidate traits, such as their technical and people skills, their education, and their work history, to make sure that the shortlist for each job opening is both correct and useful.
The platform uses advanced Natural Language Processing (NLP) and machine learning methods, such as semantic similarity models and rule-based validation, to look at job requirements and candidate profiles and find the best matches. The semantic matching part looks at how relevant each resume is to the job, and the rule-based validation part makes sure that only candidates who meet the minimum requirements are considered. These mechanisms work together to improve ranking accuracy by giving each candidate a personalized score that fits the employer's needs and the specific needs of the job.
In addition to smart recommendations, the platform has a real-time tracking system that keeps an eye on candidates' progress through the recruitment pipeline, giving recruiters timely insights and detailed performance reports. The "AI-Powered Resume Filtering and Ranking System" is meant to help companies make confident, data-driven hiring decisions. This will improve the quality of the hiring process and make it easier to find good candidates.},
        keywords = {semantic matching, resume verification, real-time insights, candidate ranking, recruitment automation, natural language processing, and machine learning.},
        month = {April},
        }