TTB Label Review Assistant — federal alcohol & tobacco labeling compliance proof of concept
A working proof of concept that screens alcohol and tobacco beverage labels against federal TTB mandatory labeling requirements. Reviewers submit a single label photo, a batch of images or a ZIP, pasted label text, or a CSV of applications; the system extracts label content, evaluates it against required elements such as the Government Warning statement, and returns a reviewable findings report with analytics on trends and failure rates.

What it demonstrates
- •Guided three-step review workflow: intake, automated check, human approval
- •Multiple intake paths — single image, batch/ZIP, pasted text, CSV import
- •Automated evaluation against TTB mandatory label elements
- •Session-based findings reports reviewers can approve or flag
- •Analytics on review volume, trends, and failure rates
- •Front-and-back panel handling for split Government Warning text
Stack
- Python
- AI/OCR extraction
- Web application
- Batch processing
- Analytics dashboard
Demonstration build only. Always confirm labeling decisions with official TTB guidance.
