Robotics’ Framework for IT Recruitment
DOI:
https://doi.org/10.47392/IRJAEM.2024.0331Keywords:
Resume parsing, Interview scheduling, Candidate screening, IT recruitment, ChatbotAbstract
The chatbot functions as a virtual assistant for engaging with candidates. Robotic framework for IT recruitments uses chatbot system for automating recruitment processes. With a growing pool of varied candidates and a growing need for experienced workers, the IT recruitment market is changing quickly. The robotic framework for recruiting is an automated hiring method that speeds up the hiring process by doing away with the need for the recruiter to physically be present. Our study will provide a novel strategy that incorporates all phases of a typical hiring procedure with appropriate oversight, giving the candidate a face-to-face interviewing experience. Organizations' methods for finding and onboarding talent have been completely transformed by the use of robotic technologies in IT recruitment procedures. First of all, automating the job application process simplifies the preliminary communications with candidates, increasing productivity and cutting expenses for HR departments. The need for effective and efficient procedures in the current IT hiring environment is constantly rising. The idea of an intelligent chatbot designed especially for the IT recruitment industry is presented in this abstract. By using machine learning techniques and natural language processing (NLP), this chatbot seeks to expedite the entire hiring process—from finding candidates to onboarding them. The chatbot can do first screening based on predetermined standards established by recruiters, gather and evaluate resumes from prospects, and converse with them in real time. In addition, it makes it easier for recruiters and candidates to communicate smoothly by setting up interviews, sending automated follow-up messages, and giving regular updates on the status of applications.
Downloads
Downloads
Published
Issue
Section
License
Copyright (c) 2024 International Research Journal on Advanced Engineering and Management (IRJAEM)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.