Browsing by Author "Shaman, M.A.M."

Now showing 1 - 1 of 1

Embargo
Pre-Interview Reviewer Using Natural Language Processing for Software Engineers in The IT Industry : Pre-interview reviewer
(IEEE, 2023-03-28) Shaman, M.A.M.; Samarasinghe, S.M.; Tharinda, D; Gamage, D.C.; Gamage, A
The internet use to look for work has increased dramatically in recent years, and the number of job applicants has also increased. Numerous conventional websites promote online job postings using graphical and writeable ways. But the respective websites do not support HR (Human resources) in selecting the most suitable person from the candidates applying for the individual jobs. So, The HR department, faced with a large pool of applicants, faces the task of selecting the best one. To address this problem, we've developed a new web tool called "Pre-interview reviewer" that can be used by any company in the IT sector to quickly and easily narrow down the pool of applicants for software engineering roles. We use various methods to narrow down the pool of potential hires. We are training an algorithm to identify the best candidates by assessing the Curriculum Vitae (CV), providing selected questionaries relevant to the HR-provided job description requirement, and using leadership and teamwork skills to analyze questions. Using this system, the companies can utilize the pre-interview sections. Then time consummation will happen. Here, we take a natural language processing-based approach to creating a web app and web-dev languages, among others. In the end, this approach is meant to take advantage of the intricate nature of company recruitment.