https://github.com/memgraph/card-fraud
Python app for detecting credit card frauds using a graph database
https://github.com/memgraph/card-fraud
credit-card-fraud d3js fraud-detection graph-algorithms graph-database memgraph
Last synced: 10 months ago
JSON representation
Python app for detecting credit card frauds using a graph database
- Host: GitHub
- URL: https://github.com/memgraph/card-fraud
- Owner: memgraph
- License: mit
- Created: 2021-02-18T03:46:19.000Z (about 5 years ago)
- Default Branch: main
- Last Pushed: 2025-01-13T10:08:37.000Z (over 1 year ago)
- Last Synced: 2025-01-13T11:25:21.858Z (over 1 year ago)
- Topics: credit-card-fraud, d3js, fraud-detection, graph-algorithms, graph-database, memgraph
- Language: SCSS
- Homepage: http://cardfraud.memgraph.com/
- Size: 8.4 MB
- Stars: 15
- Watchers: 6
- Forks: 3
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Awesome Lists containing this project
README
🔍 Credit Card Fraud Demo 🔍
A web application with backend in Flask and frontend in JavaScript and D3.js
that uses Memgraph to analyze credit card transactions. The dataset is randomly
generated each time the app is started.
> [!NOTE]
> We no longer host the Card fraud app on `https://cardfraud.memgraph.com/`. You can still check out this project to learn how to build an app with Memgraph.
## Data model
## Prerequisites
You will need:
- [Docker](https://docs.docker.com/get-docker/)
- [Docker Compose](https://docs.docker.com/compose/install/) (included with
Docker Desktop on Windows and macOS)
## Running the app
You can start everything using Docker Compose:
```
docker-compose build
docker-compose up
```