AI-BASED RESUME ANALYZER

Abstract: The need for this project is to develop an AI-based resume analyzer system that automates and optimizes the resume screening and candidate evaluation process. The proposed system utilizes artificial intelligence (AI) and natural language processing (NLP) techniques to extract and analyze important information from resumes, such as personal details, educational qualifications, technical skills, soft skills, certifications, and work experience. Indeed, the system is capable of comparing the extracted resume content with predefined job descriptions to identify the most suitable candidates based on skill matching and relevance. This system is expected to reduce the time and effort involved in manual resume screening while minimizing human bias and improving recruitment accuracy. The proposed system involves intelligent text processing, resume classification, keyword extraction, and skill gap analysis to provide accurate recommendations for both recruiters and jobseekers. Moreover, the system has the capability of learning from resume patterns and job requirements, thereby improving its efficiency and decision-making ability over time. The result of this project is expected to be a fast, reliable, and accurate resume analysis system that assists recruiters in shortlisting candidates effectively and helps applicants improve their resumes.

Keywords: Artificial Intelligence, Resume Analyzer, Natural Language Processing, Resume Screening, Skill Matching, Recruitment Automation.