Skip to content

Kero-83/FraudDetection

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

2 Commits
 
 
 
 

Repository files navigation

Fraud Dedetection Model (AI Course Project)

A fraud detection AI project involves developing an intelligent system that automatically identifies and prevents fraudulent activities. By leveraging machine learning algorithms, the AI analyzes vast amounts of transaction data, detecting unusual patterns and behaviors indicative of fraud. The project typically includes building models that can recognize known fraud tactics (like identity theft or transaction anomalies), continuously learn from new data, and provide real-time alerts to reduce false positives and operational risks. It aims to enhance security, improve detection accuracy, and minimize financial losses for businesses and consumers.

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published