Research Article
AI-Driven Resume Parsing and Ranking System: Leveraging NLP And Machine Learning for Efficient Recruitment
@INPROCEEDINGS{10.4108/eai.28-4-2025.2357764, author={Alavala Vamshi Krishna Reddy and Kolluru Venkata Ratnam and Nizampatnam Narasimha and Chintagunta Pavan Kalyan}, title={AI-Driven Resume Parsing and Ranking System: Leveraging NLP And Machine Learning for Efficient Recruitment}, proceedings={Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I}, publisher={EAI}, proceedings_a={ICITSM PART I}, year={2025}, month={10}, keywords={ai-driven machine learning resume parsing}, doi={10.4108/eai.28-4-2025.2357764} }- Alavala Vamshi Krishna Reddy
Kolluru Venkata Ratnam
Nizampatnam Narasimha
Chintagunta Pavan Kalyan
Year: 2025
AI-Driven Resume Parsing and Ranking System: Leveraging NLP And Machine Learning for Efficient Recruitment
ICITSM PART I
EAI
DOI: 10.4108/eai.28-4-2025.2357764
Abstract
The rapid expansion of application data in modern recruitment calls for new strategies to reduce the inefficiencies of manual screening and speed up candidate adjudication. This paper presents an AI-powered resume parsing and ranking framework. Powered by machine learning (ML) and natural language processing (NLP), it aims to transform the hiring process. The approach uses advance NLP extraction techniques to extract and tag essential natural language processing. achievements from all the unstructured resume documents which are technical skill set, employment history, educational background and certification. The solution uses advanced NLP techniques to extract & organize key attributes from a mix of unstructured resume documents including technical skills, work exp, education and certifications. This method reduces the subjectivity of traditional methods and can at the same time improve the accuracy and efficiency of the screening. Empirical validation confirms the system’s capabilities for parsing various resume formats and providing precise candidate ranking, making the system a game-changing platform to support hiring practices and facilitate data-based decision making in the field of HRM.
