Published on: June 2026
AI AUTOMATED RESUME ANALYZER FOR CANDIDATE SKILL ASSESSMENT
Kaveri Monappa Sutar
Ganesh Rampure
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Abstract
Recruitment processes often involve the manual screening of a large number of resumes, making candidate evaluation time-consuming and prone to human bias. This paper presents the design and implementation of an AI Automated Resume Analyzer for Candidate Skill Assessment, an intelligent system that leverages Natural Language Processing (NLP) and Machine Learning techniques to automate resume analysis and evaluate candidate suitability for specific job roles. The proposed system extracts relevant information such as educational qualifications, technical skills, work experience, certifications, and projects from uploaded resumes in various formats. It then compares the extracted data with predefined job requirements to generate a compatibility score and identify skill gaps. The system provides recruiters with data-driven insights to facilitate efficient shortlisting and informed decision-making. Additionally, it offers personalized feedback to candidates regarding the strengths and weaknesses of their profiles. Experimental results demonstrate that the proposed solution significantly reduces the time required for resume screening while improving the accuracy and consistency of candidate assessment. This approach contributes to the development of smarter recruitment systems that enhance the effectiveness and fairness of talent acquisition processes.
How to Cite this Paper
Sutar, K. M. (2026). AI Automated Resume Analyzer for Candidate Skill Assessment. International Journal of Creative and Open Research in Engineering and Management, <i>02</i>(6). https://doi.org/10.55041/ijcope.v2i6.148
Sutar, Kaveri. "AI Automated Resume Analyzer for Candidate Skill Assessment." International Journal of Creative and Open Research in Engineering and Management, vol. 02, no. 6, 2026, pp. . doi:https://doi.org/10.55041/ijcope.v2i6.148.
Sutar, Kaveri. "AI Automated Resume Analyzer for Candidate Skill Assessment." International Journal of Creative and Open Research in Engineering and Management 02, no. 6 (2026). https://doi.org/https://doi.org/10.55041/ijcope.v2i6.148.
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- •Published on: Jun 12 2026
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