Development of an automatic recruitment system using machine learning techniques

Computerization of tasks, adaptation to future skills, new training techniques, and cultural diversity are the main challenges that today’s employers face on a daily basis when recruiting new candidates. The increasing complexity of the process of searching for qualified candidates and the high turnover of talent are issues that arise from this new reality. In this project, and with the collaboration of two industrial partners, Thallo and Reelcruit, we propose to create a technological tool that optimizes the recruitment process. Specifically, we use machine learning, natural language processing and big data analysis techniques in order to match the right candidate with the right role. This project directly aligns with Thallo and Reelcruit mission and will expands their actual platforms to provide relevant recommendations for both recruiters and job seekers.

Faculty Supervisor:

Nizar Bouguila

Student:

Partner:

Thallo;Reelcruit

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Concordia University

Program: