An AI-Driven System for Resume Generation and Content Enhancement

Abstract

In the present-day competitive employment market, writing an effective and wellorganized CV is essential for job applicants. A resume functions as the initial point of contact with applicants and employers, significantly influencing the candidate selection process. Nevertheless, numerous individuals find it challenging to create resumes that effectively showcase their talents and experiences. This paper introduces a system powered by AI for the automated production and upgrading of resumes. The suggested system streamlines the resume building process by enabling users to enter their personal, academic, and professional data via a simple interface. It employs artificial intelligence methodologies to systematically organize material, refine language, and elevate the overall quality of the CV. The application provides fundamental features such protected authentication, resume creation, revision, deletion, and PDF export. In contrast to conventional resume generators that utilize fixed templates, the suggested method emphasizes dynamic content augmentation and intuitive user engagement. The system seeks to minimize user effort, enhance resume efficacy, and augment the likelihood of applicant selection. Experimental usage suggests the proposed solution offers a more effective and accessible method for users to create professional resumes appropriate for various job applications. Keywords— Artificial Intelligence, Resume Generation, Natural Language Processing (NLP), Content Enhancement, Machine Learning, Automated Resume Builder, Text Processing, Career Assistance Systems, Document Generation, User Interface Design