International Journal on Science and Technology
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Volume 17 Issue 1
January-March 2026
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AI-Powered Resume Screening and Job Matching System for Intelligent Career Guidance and Recruitment Optimization
| Author(s) | Mr. K. Srinath Yadav, Mr. B. Harun Matthew, Mr. A. Hari Prakash, Mr. S. Harish, Mr. T. Hemanth, Mr. K. Hariharan |
|---|---|
| Country | India |
| Abstract | - The cutthroat job market of today is making the hiring process more difficult both to employers and to job seekers. Traditional screening and job matching methods of resumes are time consuming, prone to human bias, and do not always allow the appropriate person to fit the appropriate opportunity. In this proposal, a solution to these problems is proposed with an AI-Powered Resume Screening and Job Matching System to Intelligent Career Guidance and Recruitment Optimization. The system determines the resumes, extracts significant skills, qualification, and experiences and matches them with the job descriptions posted by the employer using the methods of Artificial Intelligence (AI) and Natural Language Processing (NLP). The proposed system, unlike the conventional use of keywords to filter the results, involves machine learning algorithms and semantic analysis to ensure that the match between job roles and candidates is more accurate and meaningful. These lead to better success by employers in finding talent quickly and letting candidates have a higher possibility of being shortlisted in relevant opportunities. Also, the system proposes personalized career advice to the candidates by determining the skills gap and recommending upskilling or training courses to enhance employability. Conversely, the employers will benefit in the form of reduced hiring time, reduced hiring costs, and better hires. To reduce biases during hiring processes, as well as to promote diversity and inclusivity in the workplace, fairness-oriented algorithms are also included in the proposed solution. The job matching system is an AI-based system that is designed and capable of handling large volumes of recruitment data and can be applied across industries. In order to clarify, this project demonstrates how AI can totally change the employment procedure making it smarter, more productive, and open. Not only does it assist businesses to get the best, but it also gives an individual the ability to make a wise decision regarding their futures |
| Keywords | There is a set of core concepts that define the scope and operations of the AI-Powered Resume Screening and Job Matching System in the context of Intelligent Career Guidance and Recruitment Optimization. These three keywords include machine learning (ML) that drives skill-based matching, ranking and predictive analysis, natural language processing (NLP) that drives resume parsing and job description understanding and artificial intelligence (AI) that drives automation and intelligent decision-making. Resume screening and job matching are also vital terms, which highlight the primary aims of screening and assessing the candidates and deciding whether they are appropriate or not. Also, the system focuses on Career Guidance, providing job seekers with information about skill deficiencies and specific training suggestions, and Recruitment Optimization, that is to reduce time and costs and increase the accuracy of hiring. |
| Field | Computer Applications |
| Published In | Volume 16, Issue 4, October-December 2025 |
| Published On | 2025-12-28 |
| DOI | https://doi.org/10.71097/IJSAT.v16.i4.10019 |
| Short DOI | https://doi.org/hbhj54 |
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IJSAT DOI prefix is
10.71097/IJSAT
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