This August we had three Capstone Showcase events: for the Master of Information and Cybersecurity (MICS) program, the Master of Information and Data Science (MIDS) program, and, for the first time the 5th Year MIDS program, as the inaugural class completed their term.
Capstone projects are the culmination of the MICS and MIDS students’ work in their respective I School programs. Over the course of their final semester, teams of students propose and select project ideas, conduct and communicate their work, receive and provide feedback, and deliver compelling presentations along with a web-based final deliverable.
Congratulations to our winners, and to all the students who completed Capstone this summer!
Lily L. Chang MICS Capstone Award, August 2020
Eximius Hardware Key
Jorge Montanez, Daniel Omeh, Yu Qiao
According to statista.com, in 2019, the number of data breaches in the United States amounted to 1,473, with over 164.68 million sensitive records exposed. Of the data breaches studied in the 2019 Cost of a Data Breach Report, 24% are caused by human error, including the use of malware-infected devices, phishing attacks, and social engineering.
Eximius Hardware Key, which takes the state-of-the-art hardware security keys to the next level, is a solution to prevent these data breaches.
Hal R. Varian MIDS Capstone Award, August 2020
Jonathan D’Souza, Jacques Makutonin, Danon Price, Michael Reiter
Improving the monitoring of wildlife behavior can make us better equipped to protect endangered species, reduce biodiversity loss, and contribute to sustainable coexistence between humans and wildlife. WildTrackAI is a tool that applies computer vision technology to enhance the speed and accuracy of animal footprint image classification. The team partnered with WildTrack, a nonprofit organization that applies non-invasive wildlife monitoring techniques based on indigenous knowledge to track endangered species using footprints.
5th Year MIDS Capstone Award, August 2020, Sponsored by Databricks
Isa Chau, Silvia Miramontes, Emma Russon, JJ Sahabu, Chelsea Shu
Gredient is focused on safeguarding the health and improving shopping experiences of the 32 million American consumers with food allergies by helping them easily check the contents of ingredient labels. The Gredient iOS app is based on an optical character recognition model hosted in a serverless web architecture that can scale to allow millions of people to use our service.