FloodWise

by   Darcy Weedman, Ethan Jones, Angus Scroggie, Miles Bojorge, Blair Cannon, Zachary Walls

FloodWise is a Brisbane flood warning system, utilising cutting-edge artificial intelligence with a user-focused design to provide residents of the greater Brisbane area real-time flood predictions and community alerts. Our system uses a Long Short-Term Memory (LSTM) neural network to forecast flood events. This has been achieved by analysing complex time-series data, such as hourly weather patterns and river levels.

We developed a mobile-responsive web application to ensure universal accessibility across devices. This decision was informed by the need for immediate, wide-reaching access in emergency scenarios. Our mobile-first design ensures that users can interact with the system quickly and intuitively, even under the pressure of a flood event.

The platform's community-driven approach allows users to contribute and access vital information, such as shelter locations and how to be prepared. Through this balance of advanced technology, accessibility, and community engagement, our system stands as a robust and scalable solution to Brisbane's flood management challenges.

3D digital map of Brisbane showing the Brisbane river and its potential flooding locations in a simulation.3D digital map of Brisbane showing the Brisbane river and its potential flooding locations in a simulation.

Prize Categories

Best User Experience Design Project

Technologies and Skills
  • Flood Detection
  • Artificial Intelligence
  • Human-Centered Interaction

Supervisors

Mashhuda Glencross  , Jason Weigel  , Angus Moore

Project Source: DECO3801

Tags
  • Flood Detection
  • Artificial Intelligence
  • Human-Centered Interaction
  • Digital Elevation Model
  • Real-Time Alerts