The developments in the information technology (IT) sector have led to rapid and demand-driven recruitment processes. Traditional recruitment processes have struggled to keep up with this pace. For instance, manually screening resumes can be time consuming; furthermore, human bias can impact the outcome of the screening process since many potential candidates are skilled at “keyword stuffing” their resumes with technical terms but not including their true level of technical competence. This paper presents an Artificial Intelligent (AI) Enabled Web Based Recruitment System (RBRS) to assist recruiters with the recruitment of IT professionals and developers. The system will use Natural Language Processing (NLP) and Machine Learning (ML) algorithms to go beyond just keyword matching. The resume will be semantically analyzed to provide the recruiting platform with an understanding of the contextual(s) of the candidate’s prior experiences, and to allow the recruiting platform to properly match the candidate’s technical skills with the technical required granularity of the job. Automated Skills Verification (ASV): Developers will be assessed against their coding skills through a technical assessment module. The PEI developer-technical assessment report will provide a classification of developers based on their coding skill level, and not exclusively on their stated/declared coding skills. Predictive Analytics (PA): The recruiting system’s predictive analytics engine will assign a ranking-order to candidates being considered for job opportunities.
Artificial Intelligence, Natural Language Processing (NLP), Technical Recruitment, Resume Parsing, Machine Learning, Talent Acquisition, Web-Based Systems, Developer Sourcing, Recruitment Automation
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