Â鶹´«Ã½

GenAI Genesis is Canada's largest AI hackathon, held annually in March. Students from across the world travel to the University of Toronto to code something awesome in just 36 hours. This year, there were over 600 hackers and 2,200 applicants from every corner of the globe. GenAI Genesis partners with the prestigious Vector Institute in Toronto, and the United Nations in Canada. It is also sponsored by Google.

A team that included two Â鶹´«Ã½ University students in their third year of Software Engineering, Jun Bin Cheng and Jay Savaliya, won the award for Best AI Safety and Responsibility, sharing the award with two students from the University of Waterloo.

The inspiration for their project was to examine the overwhelming number of ingredients in many common skincare products. They sought to create a neutral, science-backed app to decode ingredient labels.  empowers users with a simple, unbiased, and convenient way to look up ingredients, by simply taking a picture of an ingredient list to get a quick summary. Users can also add their medical history, such as allergies or existing skin conditions to their profile to personalize the analysis done by the app. 

The unbiased and responsible artificial intelligence (AI) aspect of the app comes from the custom retrieval augmented generation database, which contains data about ingredients from reputable sources such as the United States Food and Drug Administration. The app’s AI component is neutral with no hidden agenda. LabelLens also searches the Internet for the newest information about an ingredient, such as whether it's been banned in specific jurisdictions, etc.