Front-end dashboard built for (hypothetical) employees at an event company to review and flag potentially fraudulent events (in real time) based on a data model that surfaces the likelihood of an event being fraudulent.
This was built by JBallin and hyperrex in less than 2 days as part of a collaborative case study in partnership with 4 members from Galvanize's Data Science Immersive. The Data Science team analyzed training data to build the model as well as the API and the front-end pulls in the latest events in real-time.
NOTE: The data is too sensitive to share publicly, so this uses made-up events from a simple API.
Review all ? events (shown as unread) by toggling them to either be thumbs up (not fraud) or thumbs down (fraud).
The state/db is updated (onClick) and persists in the database!
