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@article{198319,
        author = {Rahul Raj and Sachin Tewari},
        title = {Job Fit AI: AI – Powered resume ranking for efficient hiring},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {11},
        pages = {16229-16232},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=198319},
        abstract = {In present competitive world of job and employment wherein manual screening of resumes takes much time, it is error prone, and in most cases biased. Job Fit AI This technology is an artificial intelligence application that uses resume processing and positioning of applicants according to their fitness in a specific job description. This study examines AI-based resume ranking model design, implementation and evaluation to enhance hiring efficiency and quality of decision. We also mention natural language processing algorithms, machine learning methods, fairness issues and performance rates. Findings have indicated that AI-based ranking can greatly decrease recruiter workload, enhance candidate-job fit, as well as facilitate objective hiring choices in situations that equitably calibrate the AI.},
        keywords = {Job Fit AI, Resume Ranking, Natural Language Processing (NLP), Machine Learning, Efficient Hiring, Candidate Matching, Fairness in AI},
        month = {April},
        }