RESUME SCREENING USING NATURAL LANGUAGE PROCESSING

RESUME SCREENING USING NATURAL LANGUAGE PROCESSING

Anakha K M, Haritha Rajan, Honey M, Sumesh C Raman

Computer Science and Engineering

Adi Shankara Institute of Engineering and Technology,

Kalady

Ernakulam, India

Abstract---The demand for low-cost labour and the growth in available jobs have both contributed to a significant increase in the Indian recruitment industry during the past five years. The hiring process is outsourced to organisations whose main goal is to provide the specific talents that the organisation requires in the recruitment industry, which is a new method of employing people. As the need for jobs rises, so does this industry. This is undertaken since big businesses hire in large quantities, and carrying out such a task internally would use up a lot of corporate resources and reduce production. Since these businesses are growing and even they find it tedious and time-consuming to manually review every candidate's resume, these talent management firms use various ML models to screen out the best resumes in accordance with the job roles, which lessens the workload on the human resources department.

Keywords—Natural Language Processing, Resume Analyzer, e-recruitment, Job seeker