Virtual Training Assistant and Assessment Application Using an Adaptable Knowledge Graph Repository

This Small Business Technology Transfer (STTR) project will develop a Virtual Training Assistant (VTA) using a closed-domain Conversational AI (CAI) platform and adaptable Knowledge Graph. The VTA will provide hands-free support for aviation technicians during training, repair activities, and final  inspection. The VTA platform is based on three basic elements: 1: Data Ingestor and Domain-specific Knowledge Graph (DI-DKG); 2: CAI; and 3: User Interface and Domain and Application specific Dialogue Models. Example applications can include Scenario-Based Training (SBT), Hands-free verbal access to technical manuals and information, and step-by-step inspection procedures with form-filling and annotation support. While we will demonstrate a functional system that includes all three components, each element will be able to operate independently and communicate with other components using RESTful APIs . In particular, the DI-DKG could be used independently to support other CAI systems as well as Augmented Reality devices that need ready access to up-to-date and readily accessible technical information