Deepfake detection & hidden assistance
Deepfake/authenticity detection and detection of hidden interview assistance.
An interview integrity platform combining deepfake detection, speech analysis, gaze tracking, an adaptive question engine and generative AI.
Conceptual view of the engineering scope, not an as-built client architecture.
A separate client company needed an interview platform that brought live interactions, candidate-side software and multiple integrity and AI capabilities together. Back3nd’s team built the platform.
A working AI feature is one part of a product. This platform combines real-time communication, desktop software, hidden-assistance detection, and multiple AI capabilities within the same interview workflow. The engineering challenge is at their boundaries: connecting these capabilities to the application experience and the systems supporting it.
Deepfake/authenticity detection and detection of hidden interview assistance.
Speech-analysis and gaze-tracking capabilities within the platform.
An adaptive question engine and generative AI capabilities.
The meeting experience and candidate-side desktop application supporting the interview workflow.
An interview platform incorporating real-time and desktop application engineering alongside the AI and integrity capabilities described above. These capabilities are presented without claims of perfect detection or treating speech or gaze as proof of dishonesty.
Software spend. Repetitive work. Disconnected systems. Let’s find the engineering changes that make a difference.