Scammy

Project Info

Team Members


1 member with an unpublished profile.

Project Description


Scammy bot is an intelligent bot being trained to communicate with members of the public and identify all sorts of scams.

Scammy is also a Chrome extension that alerts users when they visit suspicious pages that may harm users, for example, shown on the right is a scam email that links users to a web page trying to impersonate PayPal.


Data Story


Scammy uses data on common scam vectors and methods to construct a model that it can use to identify scams and communicate with users on what to do.


Evidence of Work

Video

Homepage

Team DataSets

Consumer scams - Consumer Affairs Victoria

Description of Use Used to determine common scam attack methods, rates of incidence, and cost to Australian's for training Scammy the bot's responses when asked about scams.

Data Set

ACCC Scams report 2017

Description of Use Used to determine common scam attack methods, rates of incidence, and cost to Australian's for training Scammy the bot's responses when asked about scams.

Data Set

Challenges

A New Start

How can we improve the process of starting or growing a business?

Go to Challenge | 21 teams have entered this challenge.

Bounty: Is seeing truely believing?

How can we tell a story with visualisations, that speaks the truest representation of our data?

Go to Challenge | 28 teams have entered this challenge.

Bounty: Mix and Mashup

How can we combine the uncombinable?

Go to Challenge | 61 teams have entered this challenge.

Telling Stories with Data(.Vic)

Accessing any of the datasets on data.vic, this challenge asks participants to extract and tell stories from data. Alternatively how might we facilitate citizens’ own inquiries and investigations via the Victorian Government Open Data Portal?

Go to Challenge | 21 teams have entered this challenge.

My Victoria: Supporting small business making big decisions

Where are the best places for certain business types to be based?

Go to Challenge | 12 teams have entered this challenge.

Can you beat a scammer at innovation?

How can different tools improve scam prevention?

Go to Challenge | 3 teams have entered this challenge.