Machine Learning as a Service: Extract data from product labels, business forms, and image files
Description
This AI project is designed to assist in capturing data submitted to & reviewed by the FDA by extracting text and data, determining its structure, and saving the information in a more useful format
Detailed example
Parsed text and data structured in JSON format, with key/value pairs where appropriate (such as for specific fields in a form or nutrient name & amount on a product label)
AI / analytics pattern
Classical/Predictive Machine Learning: Models trained on data to make predictions or classifications based on identified patterns or relationships.
Automation level / stage
c) Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.
Expected benefit
The ability to extract information such as nutrition information and ingredients from product labels, tabular data, invoices and receipts, and handwritten forms without the need to have users retype or copy & paste the data into FDA applications.
Controls / human review
ATO: Yes; PIA: Not published
Data needed
Makes use of Google Translation Hub