自动化招聘的端到端解决方案

Yash Chaudhari, Prathamesh Jadhav, Yashvardhan Gupta
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引用次数: 0

摘要

自动化使组织能够轻松地管理复杂的工作负载和流程,从而提高效率并节省时间。其中一个工具是自动化招聘,它通过消除招聘人员亲自出席的要求来加快流程。这项研究提出了一种创新的方法,包括标准面试的所有步骤,并进行适当的监控,为候选人提供类似于真正的面对面面试的体验,同时确保没有作弊行为发生。简历短名单使用自然语言处理(NLP)根据职位要求对简历进行评级,并将候选人数据存储在数据库中,以便将来交流。这款面试机器人使用深度模拟技术,为用户提供逼真的体验。使用相似性度量,根据从简历中检索到的数据以及用户对先前问题的回答来提出问题。该软件最终会分析收集到的数据,以确定所提供职位的正确选择。在整个过程中,为了防止作弊,会从摄像机中提取信息进行监控,如果有不当行为,将取消考生的资格。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An End to End Solution For Automated Hiring
Automation enables organizations to manage complicated workloads and processes with ease which increases efficiency and saves time. One such tool is automated hiring which accelerates the process by eliminating the requirement for the recruiter to be present in person. This study proposes an innovative approach that includes all steps of a standard interview with proper monitoring, providing the candidate with an experience similar to a true face-to-face interview while ensuring no cheating occurs. The resume short lister uses natural language processing (NLP) to rate resumes based on job requirements and stores candidate data in a database for future communication. The interview bot uses deepfake technology to provide the user with a realistic experience. Using similarity metrics, questions are asked based on data retrieved from the resume as well as user responses to prior questions. The software would finally analyze the data collected to determine the right choice for the position offered. The entire procedure is monitored by extracting information from the camera during the interview to prevent cheating, and the candidate is disqualified in case of any malpractice.
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