AI-Powered Resume Crafting and Screening

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Authors: Syed Muhammad Afiq Idid Syed Azli Idid, Syasya Syaerill, Noor Azura Zakaria, Marsani Asfi, Qurotul Aini
Cited by: 0

Abstract

In today’s competitive job market, a resume often serves as the first point of contact between job seekers and recruiters. However, many job seekers, especially fresh graduates, struggle to craft a professional and ATS-friendly resume that clearly highlights their skills and experiences. At the same time, recruiters face the challenge of screening large volumes of applications, which is time-consuming and may result in qualified candidates being overlooked. To address these issues, this project develops Resume Pro, a web-based system that integrates AI-powered resume crafting and automated resume screening. The platform enables users to generate high-quality, ATS-friendly resumes with AI-driven suggestions, while recruiters can screen and rank applicants using natural language processing and machine learning techniques. The system is implemented using Python (Flask) for the backend and HTML, CSS, and JavaScript for the frontend. The delivered system is a user-friendly application that supports better resume preparation and improves efficiency and accuracy in the hiring process.

Fields of Study & Subjects

AI and HR Technologies Employer Branding and e-HRM Recommender Systems and Techniques

Publication details

Journal / source
International Journal on Perceptive and Cognitive Computing
Volume
12
Issue
1
Pages
125–130
Publication date
30 January 2026