Repair quote extraction for automotive claims
Problem
Automotive repair quotes arrived as unstructured PDFs, and every labour line, part and total had to be re-keyed by hand before a claim could be compared or approved.
Approach
Built a document-AI pipeline that runs text detection ahead of a layout-aware model fine-tuned on real repair quotes, converting each PDF into a structured record of labour items, parts and totals through a set of coordinated services.
Outcome
Reached an 88.79% F1 score across 189 extracted entity types on 200+ real-world repair quotes, replacing manual re-keying with structured data.
Python · LayoutLMv3 · PaddleOCR · Flask · Redis · AWS EC2 · AWS S3 · AWS SNS · Supervisor · Docker · Pydantic · Jinja2 · s3fs · NLP · Computer Vision