Paul Yang — AI/ML Data Analysis of Fashion Consumer Trends in Social Media: An Impact Report for Canadian Businesses

The project, “AI/ML Data Analysis of Fashion Consumer Trends in Social Media: An Impact Report for Canadian Businesses,” aims to analyze fashion consumer trends on social media platforms and produce an impactful report for Canadian businesses. The intern will employ and develop advanced data analysis techniques to collect and process data from various social media sources to gain insights into the latest fashion trends, which will be presented visually in an analytical report. This project is of great importance to Canadian businesses as it will provide a comprehensive overview of what consumers are looking for, enabling companies to improve their products and services accordingly, leading to an improvement in the economy. The intern will work in collaboration with the partner organization, Cansbridge Fellowship, and academic supervisor, Alan Ableson. The project’s direct benefit to the partner organization is the production of a real-world case study, which can be used to assist other project’s within the Cansbridge Fellowship program as a whole. This will further attract Canada’s best leaders in entrepreneurship and leadership.

Faculty Supervisor:

Alan Ableson

Student:

Partner:

Cansbridge Fellowship

Discipline:

Engineering

Sector:

Education; Other services (except public administration)

University:

Queen's University

Program: