Global Talent Streamlining: Leveraging AI for Strategic Immigration Solutions in the Canadian Labour Market

Our project addresses the critical challenge in the Canadian labour market: the mismatch between the demand for talent and the availability of skilled individuals to fulfill economic priorities. With Canada facing prolonged labour shortages across various sectors due to demographic shifts, this initiative seeks to bridge the gap by leveraging AI to analyze and match foreign talent with Canadian employment opportunities. By meticulously examining data sets of potential candidates and job vacancies, we aim to identify the most suitable immigration pathways and align skills, experiences, and qualifications with the needs of the Canadian economy. This comprehensive approach not only promises to mitigate the looming national crisis in industries like healthcare, construction, and technology but also sets a precedent for applying innovative solutions to global labour market challenges.

Faculty Supervisor:

Salimur Choudhury

Student:

Partner:

Greenberg Hameed PC

Discipline:

Computer science

Sector:

Professional, scientific and technical services

University:

Queen's University

Program: