During the 2019 Estée Lauder Companies Hackathon, my team and I developed
an iOS and watchOS app utilizing product recycling and rewarding procedure,
enhancing customer experience across sub-company brands, while improving
corporate revenue and enabling buying pattern analysis.
I particularly created a machine learning model using Azure Machine Learning Studio from Microsoft in order to provide accurate recommendation on related products once recycling is completed.
We were awarded the first place among student hackers.
This is a class project I built in my software engineering class. It is
along with PHP and SQLite as backend. The game can be played on both
desktop and mobile devices, and users may register an account to store
their game data and compete against each other.
It has been awarded a grade of A.
During the Lehman Hacks 2018 hackathon, my team and I built a universal
mobile app using React Native to create a LBS solution to provide assistance
for persons with disabilities. It automatically activates when users
approach a supported public space, whose space managers will then receive
a notification about their arrival for further help.
We were awarded "The Best Use of Map API" for this project.