AI-Based Resume Screening & Ranking System

Abstract

Artificial Intelligence (AI) is the ability of machines or software to perform tasks that normally require human intelligence, such as learning, reasoning, and decision-making. In today's fast-paced job market, companies often receive hundreds or even thousands of resumes for a single job opening. Manually reviewing each application is time-consuming, inefficient, and prone to human bias or error. This research paper presents an AI-based resume screening and ranking system designed to automate the initial stages of the recruitment process. The system uses natural language processing (NLP) and machine learning algorithms to analyse, filter, and rank resumes based on how well they match the job requirements. By extracting key details such as skills, experience, education, and keywords, the AI can evaluate resumes more accurately and quickly than traditional methods. This not only saves valuable time for HR departments but also ensures a fair and consistent screening process. The proposed system aims to improve hiring quality, reduce bias, and enhance overall efficiency in the talent acquisition process. This paper also discusses the architecture, working process, advantages, limitations, and future possibilities of using AI in recruitment.