Development of an Intelligent Web System for Automated Resume Formation Based on Generative Models

Abstract

In the context of digital transformation and modern labor market demands, creating high-quality professional resumes remains a challenge for many candidates. This study presents the development of an intelligent web system for automated resume generation based on generative artificial intelligence models. The system allows users to obtain a personalized, well-structured resume from a brief textual description of their experience, skills, education, and career goals. It is built using a client-server architecture with NestJS on the backend, Next.js on the frontend, and integration with a generative language model via API. Testing confirmed the system’s effectiveness in producing high-quality resumes that significantly reduce creation time and improve self-presentation.