FakeApp was an Android and iOS app that allowed users to generate fake photos and identities using AI techniques like style transfer and generative adversarial networks (GANs). Here's a review:

Fake ID generation: The app could produce realistic-looking fake IDs with user-provided names, dates of birth, photos and other details.

Fake photo creation: Style transfer and GAN algorithms were used to insert user selfies into stock images and manipulate facial features/expressions to generate completely fabricated photos.

Document forgery: In addition to IDs, FakeApp allowed generation of fake boarding passes, insurance cards, driver's licenses and other documents.

Customizability: Various customization options were provided to tweak generated photos and IDs, like changing hair color, adding props etc.

Sharing functionality: Fake identities and photos could be exported and shared via messaging apps or social networks.

While the AI techniques ensured high visual quality fakes, the app received widespread criticism for promoting deception and illegal activity through identity fraud. Some key issues included:

Enabling criminal plans like identity theft that rely on forged government-issued IDs and documents.

Spreading misinformation by manufacturing completely fabricated yet realistic photos and identities.

Potential targeting of at-risk groups like minors and immigration applicants.

Following legal complaints and security risks, FakeApp was eventually removed from all app stores. However, it exemplified the need for safeguards on generative AI.