Project Details


AI Repository Project

WSIS Prizes Contest 2024 Nominee

Automatic Job Candidates Selection


Description

To hire employees, CVs are screened manually by the Human Resource staff. This process takes a lot of time and human effort. Based on some criteria, job candidates are selected. Among these criteria we can mention qualifications, experience, skills, employment history, etc. These criteria are matched against the job description.
In our project, we propose to develop a web based application that allows an employer to describe a job position by entering the job description, job responsibilities, etc. In addition, a job candidate can enter his qualifications, skills, employment history, etc.
Our application uses Natural Language Processing techniques to represent a job announcement and all its associated job applications. Among these techniques, we will use bag of words (BOW) and word embedding techniques (e.g. Doc2Vec, Word2Vec). After representation, the similarity between the job announcement and each job application is calculated using different similarity metrics such as Cosine, Euclidean, etc.
Based on the similarity score between the job announcement and all job applications, job candidates are ranked and a short list of candidates will be provided to the HR department. From this short list, the HR staff will select the top candidates for an interview.

Project website

Not implemented yet


Action lines related to this project
  • AL C1. The role of governments and all stakeholders in the promotion of ICTs for development
  • AL C3. Access to information and knowledge
  • AL C7. E-government
  • AL C7. E-business
  • AL C7. E-learning
  • AL C7. E-health
  • AL C7. E-employment 2024
  • AL C7. E-environment
  • AL C7. E-agriculture
  • AL C7. E-science
Sustainable development goals related to this project
  • Goal 9: Industry, innovation and infrastructure

Coverage
  • All governorates in Oman , Oman

Status

Completed

Start date

October 2023

End date

June 2024


Replicability

The project can replicated in any private or government company or institution seeking to automatize the employees’ recruitment process.


Sustainability

The project can be used by Human Resource staff to reduce the time and the effort needed for the recruitment process. In addition, our projects uses Artificial Intelligence, specifically advanced Natural Language Processing techniques to match the job description with all job applications. This will make the recruitment process fast, transparent and fair.


WSIS values promotion

The project uses Natural Language Processing techniques to match the job description with all job applications. This will make the recruitment process fast, accurate, equal and fair with all job candidates with respect to the hiring rules.


Entity name

University of Technology and Applied Sciences (UTAS)

Entity country—type

Oman Academia

Entity website

https://www.ibrict.edu.om/