By collecting data from social media, news media, and government reports our project aims to develop an analytic big data tool to mitigate food safety risk by leveraging machine learning models to collect relevant data on foodborne illness outbreaks. Our application also serves as a web-based visual analytics tool, allowing users to explore results for early warning and discovery.

• This report represents the work of one or more WPI undergraduate students submitted to the faculty as evidence of completion of a degree requirement. WPI routinely publishes these reports on its website without editorial or peer review.

Creator

• Leandres, David
• Vachon, Nicholas
• Carroll, John
• Noreika, Cole
• Alvarado Blanco Uribe, Isabel

Subject

• Well-Being

Publisher

• Worcester Polytechnic Institute

Identifier

• 54336
• E-project-032522-161614

Keyword

• Machine Learning
• Illness Detection
• Data Visualization
• Outbreak Prevention

Advisor

• Rundensteiner, Elke A.

Year

• 2022

Sponsor

• USDA

UN Sustainable Development Goals

• 3 - Good Health and Well-being
• 6 - Clean Water and Sanitation

Date created

• 2022-03-25

Resource type

• Major Qualifying Project

Major

• Computer Science

Rights statement

• In Copyright