JSC SMA NT Paper WAD Data Extraction
Description
This application aims to provide the Quality Flight Equipment Division with a strong paper Work Authorization Document (WAD) data extraction capability using AI models. The data inputs include scanned PDF versions of original paper Work Authorization Documents (WADs) stored in the QFED data center. This application will be leveraging Google's Gemini Pro models to accomplish this effort. Users will be able to query critical quality-based information from large numbers of WADs to better understand Task Performance Sheet and Discrepancy Report execution trends and areas for improvement.
Detailed example
Information on scanned PDF documents.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
This application aims to provide the Quality Flight Equipment Division with a strong paper Work Authorization Document (WAD) data extraction capability using AI models. The data inputs include scanned PDF versions of original paper Work Authorization Documents (WADs) stored in the QFED data center. This application will be leveraging Google's Gemini Pro models to accomplish this effort. Users will be able to query critical quality-based information from large numbers of WADs to better understand Task Performance Sheet and Discrepancy Report execution trends and areas for improvement.
Controls / human review
ATO: Not reported; PIA: Not published