An artificial intelligence resume analysis and career position prognosis system

The high pace of digitalization of the recruitment sites has greatly multiplied the number of resumes received by the organizations, which poses difficulty in screening manually, fair assessment, and effective role-matching. The traditional Applicant Tracking Systems (ATS) mainly depend on the filtering mechanism that is based on keywords and in many cases, it does not provide the context of the skills and experiences of the candidate. To overcome these shortcomings, the given paper introduces an AI-Based Resume Analysis and Career Role Predictor, relying on Natural Language Processing (NLP), Machine Learning (ML), and transformer-based deep learning algorithms to automatize the process of resume interpretation and predicting the career role. The proposed system can identify and extract structured information about an individual in terms of technical skills, academic qualifications, certification, projects, and experience using the unstructured resume data and predicts the best career field or job position with high accuracy. Moreover, the system conducts skill gap analysis and gives individual career advice, so that students and job seekers can enhance their employability. Predictive outputs of scales and real-time dashboards improve the transparency and ease of use by the candidates and recruiters. As shown by experimental assessment, the system has a high level of prediction, rapid response speed, and scalability, which makes it an effective solution to AI-based recruitment and career advice.