Fake Detection

Use Cases
Fake Profile Detection, Fraud Detection, Strange Behaviour Detection


Before you start using our Recommender algorithm, ensure you’ve:
  1. Created a schema
  1. Integrated code to process your data and installed Begin’s Android SDK
  1. Created a project with the objective “Fake Detection”
Learning usually takes about 30 minutes. Once complete, your machine learning algorithm is ready to be used on your mobile device, browser, connected vehicles, or server applications.


In order to infer a fake user/object, follow the initialization step:
import ai.begin.android.core.BeginWorker; BeginWorker beginWorker = new BeginWorker("APP_ID", "LICENSE_KEY", getApplicationContext());
To detect a fake user account, make the following call:
BeginWorker.getInstance().fakeDetect("project_id", "target_id", new ResponseInterface() { @Override public void success(JsonElement obj) { Log.d("Begin API Response", obj.toString()); } @Override public void error(Object obj) { Log.d("Begin API Response", obj.toString()); } });
This will return the confidence score to which a user/object is fake
If you performed the initial processing in Python, you can still use the algorithm with other SDKs like Android or iOS SDKs.