Decision making for disaster response

Glowing globe representing information and data


Roles: Interviewing, Works-like Prototype
Skills: User Interviews, Natural Language Processing, Speech Recognition, Data Visualization, Python, Google Cloud API
Time: January - May 2021
Team: 5 (MechE, CogSci, DataSci, Business)

Developed as part of ME292C, Innovation in Disaster Response, Recovery, and Resilience at UC Berkeley.

The Problem

For this project, we focused on information sharing for decision-makers in disaster response scenarios, working with NIWC Pacific.

The Process

A detailed description of the process can be found at this Behance page.

The Result

The main outcomes of the project are shown in the linked Behance page. An additional works-like prototype is shown and explained in the video below.