AI-Powered Resume Screening and Categorization Using Machine Learning and NLP

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K S MOHAMMED SHINAN; GOUTHAM PRAVEEN P P; Ms. Varsha C R,Assistant Professor

AI-Powered Resume Screening and Categorization Using Machine Learning and NLP

Authors: K S MOHAMMED SHINAN, GOUTHAM PRAVEEN P P, Ms. Varsha C R,Assistant Professor

Unique Paper ID: 176300
Volume: 11
Issue: 11
PageNo: 6975-6980

Keywords: No Keywords Found

Abstract:
The rapid growth of digital recruitment has necessitated the development of automated systems for efficient resume screening and categorization. This project introduces “AI Powered Resume Screening” powered by Machine Learning and deployed using Streamlit. The system leverages a pre-trained Support Vector Machine (SVM) model along with TF-IDF (Term Frequency-Inverse Document Frequency) vectorization to classify resumes into predefined job categories with high accuracy. The application allows users to upload multiple resumes in PDF, DOCX, or TXT formats. A robust text extraction pipeline processes these documents by removing unwanted characters, hyperlinks, and special symbols, ensuring a clean and structured dataset for prediction. Once processed, the extracted text is vectorized using the TF-IDF technique, transforming raw text into numerical data that the SVM model can analyze. The system then predicts the most relevant job category based on the resume content. A key feature of this application is the keyword-based resume filtering mechanism. Users can input specific job-related keywords, such as "Frontend Developer," "Backend Engineer," or "Data Scientist," and the system will match resumes that align with the given keywords. This feature enhances recruitment efficiency by ensuring that only the most relevant resumes are displayed, thereby reducing manual effort and improving the hiring process. By automating resume classification and filtering, this system aims to streamline recruitment workflows for HR professionals, recruiters, and organizations. The solution significantly reduces the time spent on manual resume screening while ensuring that high-quality, job- relevant candidates are shortlisted effectively. This project demonstrates the power of Machine Learning and Natural Language Processing (NLP) in revolutionizing talent acquisition and recruitment processes

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Cite This Article

ISSN: 2349-6002
Volume: 11
Issue: 11
PageNo: 6975-6980

AI-Powered Resume Screening and Categorization Using Machine Learning and NLP

Available:https://ijirt.org/article?manuscript=176300

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