Zoomi Dsoon

Project: Applying AI and fuzzy logic to analyze faces and multi-intelligence indexes to provide advice on major selection

Participate in the finals of the Research Festival 2021 - FPT Education

Introduction

For many years, deciding on a student's major has been a difficult challenge that has resulted in a variety of unforeseeable future implications, such as changing majors or dropping out after only one or two semesters at university. Recognizing this issue, we develop an application project that leverages artificial intelligence (AI), the theory of multiple intelligences, and fuzzy logic to help students select the proper major for them. More specifically in this project, we will collect card images of students at FPT University by majors and analyze all these images to create a separate face data set for each major which is saved availability in the application's system. First, students must take a photo of their face; the system will then use AI to compare the student's face with the student card image data set of the disciplines. When the face to be compared is brought to the application input by the user, the AI system will perform facial structure analysis and calculate the distance of the vectors after conversion to return the average comparison value of that face against all faces in the application's available dataset. After that, students complete a survey with a few of questions based on Harvard University psychology professor Howard Gardner's idea of “multiple intelligences” in order to measure talents and competencies. Finally, the assessment data is processed again through fuzzy logic theory to give an accurate advice on the appropriate discipline for students. The results of the project are developed in the form of mobile applications and websites to facilitate use in situations, especially suitable for online and offline enrollment activities of FPT University across the country.