AI-Powered Resume Crafting and Screening
DOI:
https://doi.org/10.31436/ijpcc.v12i1.677Keywords:
AI Resume crafting, Resume Screening, Machine Learning, Natural Language Processing, ATS-Friendly Resume, Web-Based System, Python, AI suggestionAbstract
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.
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