Enhancing Recruitment Application Processing Using Artificial Intelligence Technology

ApplyBoard is a Canadian company that offers an artificial intelligence-enabled recruitment platform to help international students apply for post-secondary studies abroad. Embarking on a collaborative venture with York University, this research project aims to improve the application processing framework at ApplyBoard through the integration of advanced AI technologies. By leveraging machine learning algorithms, Optical Character Recognition (OCR), and Natural Language Processing (NLP), we seek to streamline document evaluation processes. This involves enhancing data extraction accuracy, automating verification procedures, and standardizing document analysis protocols. The anticipated outcome includes substantial improvements in processing efficiency and accuracy, leading to reduced operational costs and enhanced user experience for both students and recruitment partners. Ultimately, our endeavor promises to propel ApplyBoard towards a more robust and efficient application processing paradigm, marking a significant stride in the realm of educational administration.

Faculty Supervisor:

Shahin Kamali

Student:

Partner:

ApplyBoard Inc.

Discipline:

Computer science

Sector:

Education

University:

York University

Program: