The idea
Nakshatra Saxena shares a tax-document classifier built around Jev. Its public repository extracts text from PDF pages, identifies the page kind and form, and uses a second question for selected form families that contain related schedules.
Inside the decision loop
PDF page text + form registry
Classify page kind and form
Route the page or request a review
What to take from it
Use an explicit form registry instead of asking for an arbitrary label. A confidence gate can send ambiguous pages back to an existing review process, while a hierarchy keeps similar forms together.
The repository describes English federal forms and its own evaluation corpora. Scanned pages need OCR first. Its reported results do not establish accuracy on a different document collection or make this a tax-advice system.
Follow the original work
This case is an editorial interpretation of a public community demonstration. It has not been reproduced or benchmarked by this publication.
Original post by @nedwize