Software Program Manager MathWorks, Massachusetts, United States
Imagine unlocking the potential of AI to choose cosmetics that are safe and clean! With health risks like breast cancer linked to hidden chemicals in cosmetics, understanding what we apply to our bodies is more critical than ever. This session addresses the urgent need for transparency and safety in beauty products, empowering consumers to make informed choices. Attendees will utilize computer vision, data analysis, natural language processing, and machine learning to create an application that parses complex ingredient lists and highlights potential carcinogens and endocrine disruptors. Attendees will gain practical skills by working with real-world data sets and learn to design solutions that cater to diverse beauty needs across ethnic groups. Be part of a movement that prioritizes health and empowers consumers — your skills can make a real difference.
Learning Objectives:
Apply technology to choose safe beauty products, considering diverse needs.
Categorize and extract product ingredients using computer vision.
Use machine learning models to classify beauty products' risks.