As digital transactions become more prevalent, the risk of fraudulent activities also increases. This project aims to leverage machine learning classification techniques to accurately identify fraudulent transactions, thereby ensuring the security and integrity of Fastag transactions.
-
Notifications
You must be signed in to change notification settings - Fork 0
As digital transactions become more prevalent, the risk of fraudulent activities also increases. This project aims to leverage machine learning classification techniques to accurately identify fraudulent transactions, thereby ensuring the security and integrity of Fastag transactions.
asharde55/fastag-fraud-detection
About
As digital transactions become more prevalent, the risk of fraudulent activities also increases. This project aims to leverage machine learning classification techniques to accurately identify fraudulent transactions, thereby ensuring the security and integrity of Fastag transactions.
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published