Skip to content

The app can be fed datasets of user clicks on ads displayed on a website, and it will process and display which clicks are fraud and which are made by genuine users by using an AI technique.

Notifications You must be signed in to change notification settings

neeyatl/fraud-detection-app

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

10 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

fraud-detection-app

The app can be fed datasets of user clicks on ads displayed on a website, and it will process and display which clicks are fraud and which are made by genuine users by using an AI technique.

Dependencies

Internet Connection

Must have node.js installed on your system. Link to download node.js

To run the project:

Clone the repository onto your system. After cloning, open the terminal/command prompt, go the root folder of the project, and run the command "npm install". This command will download all the files necessary to run the project successfully onto your system. After that, in the same root folder, run the command "node server". This will start the localhost server on your system.

Then, in your browser, type the address "localhost:3000" and press enter. This will show the initial page of the website. This page is supposed to ask user input and it isn't ready yet.

In order to show the demo, you must go to the address "localhost:3000/data". This route will use a dummy dataset from within the project and it'll show a demo of how the user interface will look like.

Authors

Neeyat Lotlikar @Aurum1611

Acknowledgements

Twitter Bootstrap

Node js

About

The app can be fed datasets of user clicks on ads displayed on a website, and it will process and display which clicks are fraud and which are made by genuine users by using an AI technique.

Topics

Resources

Stars

Watchers

Forks