AI-Powered Resume Builder: Enhancing Job Applications with Artificial Intelligence
Ritika Jha, Girish Paliwal, Bhavnesh Kumar Jha · 2025
Modern candidates for employment positions must construct ATS-compliant resume applications because employers strictly follow this practice for candidate selection. Applications struggle to create ATS compliant resumes while matching their content to resume keywords which results in poor automated recruiter screening and impacts their chances of submitting their best application. Resumes lack any additional feedback systems in standard development tools and do not provide automatic AI assistance or recommend roles for specific job requirements. This system uses NLP capabilities with ML attributes to auto-generate resumes that follow the requirements of ATS standards. The system requires two essential actions to complete which involve content reshaping along with template selection for recruitment approaches based on user-submitted industry keywords. The system instantly supplies users with feedback about grammatical precision and helps both users and applicants to determine keywords and improve score structure.Independent testers evaluated the methodological effectiveness of working with job seekers through different professional groups who have differing expertise levels. The system demonstrates its capacity to help employers acquire superior job candidates through interviews while meeting ATS requirements and developing resumes with clear terms. The research indicates artificial intelligence provides recruitment capabilities by developing artificial resume content which leads candidates to false interview opportunities. The study established fundamental concepts for future development of AIbased career guidance systems by creating automated systems for matching skills and giving job recommendations and AI-driven guidance to potential job seekers.