• Rinsa Merin Roy
• A Arjun
• Niril Thomas
• Vishnu T
• Aswathy N Rajan

This paper introduces Recruit-X, an innovative software solution poised to transform the landscape of talent acquisition for organizations. In contrast to traditional manual approaches, Recruit-X leverages automation and advanced Natural Language Processing (NLP) to streamline and optimize the entire recruitment process. By replacing cumbersome tasks associated with physical resumes and email attachments, Recruit-X enhances the efficiency of job application handling and candidate evaluations. The system's cornerstone is its state-of-the-art resume parsing, empowered by NLP, enabling intelligent extraction of key information for expedited candidate assessments. This paper explores how Recruit-X facilitates improved candidate identification, accelerates the recruitment workflow, and empowers organizations to make quicker and more effective hiring decisions. The advancements introduced by Recruit-X position companies for success in the contemporary competitive job market, marking a significant leap forward in the evolution of talent acquisition processes.

NLP, NER, React, Flask, Resume, HR, Candidate

"RecruitX - Redefining Recruitment with NLP-Powered Excellence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.11, Issue 3, page no.i482-i486, March-2024, Available :http://www.jetir.org/papers/JETIR2403860.pdf

"RecruitX - Redefining Recruitment with NLP-Powered Excellence", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.11, Issue 3, page no. ppi482-i486, March-2024, Available at : http://www.jetir.org/papers/JETIR2403860.pdf