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The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention.
This project is designed to classify resumes into different job categories based on their content. Users can upload resumes in PDF, DOCX, or TXT format, and the application will predict the category using a pre-trained machine learning model. It aims to enhance the job application process for candidates and recruiters alike.
SKILLSCAN AI is an AI-powered resume classification tool that leverages NLP, TF-IDF, and machine learning models to categorize resumes into job roles with high accuracy.
The document classification solution should significantly reduce the manual human effort in the HRM. It should achieve a higher level of accuracy and automation with minimal human intervention.
A Machine Learning project for classifying resumes into categories to streamline resume sorting and enhance recruitment processes
A text classification model from data collection, model training, and deployment.
Resume classification is the task that automatically categorizes resumes or CVs into predefined domain categories or classes based on their content. This task is essential for the job recruitment process, particularly when organizations receive a large number of applications for various positions.
This resume classification uses the Naïve Bayes algorithm to classify resumes into specific divisions to assist the Human Resources (HR) team in the candidate selection process.