FirstResponders

Project Info

Project Description


Provide a consolidated view for the CFS volunteers to access critical information during an incident or when in a strike team


Data Story


The context and objective of this project is to provide a consolidated view for the CFS volunteers to access critical information during an incident or a strike team and that will assist CFS planning for and responding to incidents. The machine learning model used considers the datasets from Bureau of Meterology, previous incidents responded by CFS, sources of water like Dams, rivers, accessibility to properties and other parks , roads information. This provides Artificial intelligence and way to identify fire patterns and plan for crews accordingly including support agencies during peak fire seasons. The app will also provide the nearvy fuel stations, the Incident controllers, the staging area location and different sectors involved in the incident. The application will also consolidate the emergency management data which includes logisitics, shift rosters etc and provide a consolidated view for the crew on the ground. The suggestion is also to link the mobile application or have a notification mechanism by having a IOT device in vehicles which will notify the ESTA automatically in case of a major collisions or incidents,. This will help in rural areas where number of transport road users are less. This will be done based on IOT sensors placed in vehicles and common locations.

https://drive.google.com/open?id=1zyBaJqVIbTN-QbNsWJqWhGZwluDZNCDL


Evidence of Work

Video

Team DataSets

Number of CFS volunteers

Data Set

CFS regional incident set

Data Set

CFS Incidents

Data Set

Resources

Data Set

Traffic Delays data

Data Set

Challenges

Emergency Planning and Response

Region: South Australia

Challenge

Better Services - Citizens at the Centre

Region: South Australia

Challenge

Improving Response

Region: South Australia

Challenge

Save Lives With Data

Region: Australia

Challenge
Back to Projects