Skip to content

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Fraud Detection App. A lightweight web application that helps detect potentially fraudulent transactions using rule-based checks and basic analytics. Users can upload transaction data, run fraud detection, view flagged items, and explore insights through a simple dashboard. Features Upload CSV files containing transaction data Automatic parsing and display of transactions Rule-based fraud detection (high amount, rapid transactions, new merchant, suspicious verification steps) Real-time transaction simulator Visual dashboard with charts Investigation panel for adding case notes Export flagged transactions as CSV How It Works The app uses simple fraud-detection heuristics such as:

  1. High Amount Rule Flags any transaction above a user-defined threshold.

  2. Rapid Transaction Rule Flags multiple quick transactions from the same user within a short time.

  3. New Merchant Rule Flags first-time merchants for a user.

  4. Suspicious Verification Rule Looks for words such as “screenshot”, “redirect”, “fake page”, etc.

These rules help simulate how real fraud detection systems identify risky behaviour.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

Packages

Contributors

Languages