I should also consider user needs. They might want a high accuracy rate, seamless integration, and user-friendly interface. There could be different use cases: businesses verifying customer identity, individuals checking if a video is real, or apps using it for secure logins.
But what about privacy? Handling facial data is sensitive, so encryption and compliance with GDPR or other regulations would be important. Also, false positives could be a problem. Need to mention how the system minimizes errors. facehack v2 verified
Maybe Facehack V2 Verified could have a confidence score, show highlights of detected anomalies, and provide an audit trail for verification. Integration with APIs would allow third-party use. Training the model on a diverse dataset to avoid bias. I should also consider user needs