This paper describes the changes implemented to AutoOD, an automated outlier detection system. Our goal was to improve the system’s usability, and functionality for its users. To accomplish this, the user interface underwent a thorough redesign, and new features were added. These new features include the capability to run AutoOD multiple times, access and download logs, set custom outlier detection parameters, and support multiple users. The paper explains the methods used to achieve these changes and gives an overview of the upgraded system. It also delves into the decisions made regarding the implementation and changes of the back-end server.

• 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

• Yi, James
• Das, Ishayu
• Andrews, Talia
• Sharich, Tristan

Subject

• Innovation
• Computing
• Project-Based Learning

Publisher

• Worcester Polytechnic Institute

Identifier

• 118957
• E-project-031924-143416

Keyword

• Web Development
• User Experience
• Outlier Detection

Advisor

• Rundensteiner, Elke A.

Year

• 2024

UN Sustainable Development Goals

• Not Specified

Date created

• 2024-03-19

Resource type

• Major Qualifying Project

Major

• Computer Science

Source

• E-project-031924-143416

Rights statement

• In Copyright