Work

CV Analysis Using Machine Learning

Year: 2025

Type: article

Abstract: - The growing number of job applicants in today’s competitive employment landscape makes it challenging for recruiters and hiring managers to efficiently filter through numerous CVs and resumes. Traditional manual methods of candidate screening are time-consuming, error-prone, and subject to human bias. To overcome these limitations, this project, CV Analysis Using Machine Learning, aims to automate the process of reviewing and shortlisting candidates by leveraging the power of machine learning algorithms. The system employs natural language processing (NLP) techniques to automatically parse CVs, extracting critical information such as skills, qualifications, educational background, work experience, and other relevant attributes.

Source: INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT

DOI: 10.55041/ijsrem45841

Author: Varsha Raule

Institution: Savitribai Phule Pune University

Language: English

Topic: AI and HR Technologies

Subfield: Organizational Behavior and Human Resource Management

Field: Business, Management and Accounting

Domain: Social Sciences

SDG: Decent work and economic growth

Open Access status: bronze

OpenAlex ID: W4409766064

FWCI:

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