Name of the competition: UC Berkeley Collider Cup 2019
About the Competition: The Collider Cup is Sutardja Center for Entrepreneurship & Technology (SCET)'s all-star showcase of the best student teams from every semester. Each team has to participate in their own respective class selections and the best team per class will be selected to compete at the Collider Cup.
Their team, SmartQ was chosen as the best team of the DataX class - a data science class where students build technical products for venture applications.
At the Collider Cup, student teams pitch their startups to industry professionals and venture capitalists. The top 3 winning teams will secure an investment pitch with one of the VCs.
Date of the competition: 10 May 2019
Achievement: Winner of DataX class & 2nd Runner Up at Collider Cup
REP Students: Loi Chii Lek, Zhang Jiaheng, Dennis Tan Yi Xuan, Ong Sze Yin, Benedict Ng Boon Hui
Product/Proposal: SmartQ utilizes machine learning to reduce wait times at theme parks. An average theme park visitor spends 40% of their time waiting in the queue. SmartQ aims to help every visitor optimize their theme park experience and put their expensive tickets to good use. They do this by utilizing complex algorithms and ML models to deliver a customized itinerary to their users that optimally reorders the sequence of the desired attractions chosen by their users. (Their tests have shown that users will save up to 50% of their time by just following the itinerary instead of choosing to go on rides randomly)