A hybrid AI platform for Streamlining Evaluation (HAIPSE) of Applications

This project is meant to develop a Hybrid AI Platform for Streamlining Evaluation (HAIPSE) of applications assisting the partner organization, The NIB Trust Fund, in processing the two categories of funding applications. The NIB Trust Fund supports education programs of the First Nation and Métis individuals and organizations aimed at healing, reconciliation, and knowledge building. Currently, evaluation of the applications is extremely time- and labour-demanding taking the limited NIB staff around six months out of the year. The proposed methodology involves different AI techniques, such as knowledge engineering, expert system designs, natural language processing, multinomial classification, etc. The HAIPSE will be integrated with the online Survey Monkey Apply System being used by The NIB Trust Fund to collect applications. Reconciliation with indigenous nations is a long-lasting priority of the Canadian Government and Society. The project obviously contributes to the fulfillment of this overarching goal.

Faculty Supervisor:

Peter Khaiter;Marina Erechtchoukova

Student:

Partner:

Future Generations Foundation

Discipline:

Computer science

Sector:

Artificial Intelligence; Indigenous Innovation; Social Innovation

University:

York University

Program: