Creating Value for Rural Electric Communities in Michigan Team: Zihao Zhang (NE), Liwei Chen (CEE), Elizabeth Foster (ME) Advisors: Seth Hoedl (Post Road Foundation), Gabriel Gomes (ME) Small electric utilities often lack the sensor infrastructure to monitor their load effectively. This lack of data hinders their ability to take advantage of new distributed energy resources… Read More »
The team used machine learning to discover correlations between various lifestyle behaviors and two chronic illness: depression and cognitive dysfunction. They found a way to identify these diseases early on, and to provide recommendations for lifestyle changes in order to lessen their debilitating effects. Team: Herbreteau Eléonore, Papanikolaou Vasileios, Ramesh Kapilesh, Shi Yiyu, Vyas Arpit… Read More »
CalCardiac worked to reduce false hospital alarms due to arrhythmias. Collaborating with the UCSF School of Nursing, the team used various machine learning techniques to create a browser-based utility to view and label ECG waveform images. Capstone Team: Alex Ackroyd, Adam Andrews, Siddhant Issar, Segev Malool, Umesh Thillaivasan, Yuntao Wang. Research in collaboration with Jacob… Read More »
Generating “nature scores” for real estate based on the amount of nature that surrounds a property. Helping nature lovers and conscientious buyers find the perfect home.
The Project The overall goal of the Street Nature Score project* is to launch a startup that promotes and raises awareness for urban nature. To reach this goal, the team is developing a web platform which quantifies the amount of nature based on satellite data. Users will be able to enter any U.S. address or… Read More »