The challenge
Mining company with operations across multiple regions needed to verify the identity of 500+ miners using documents (IDs, photos, PDFs) manually — a slow, error-prone process that delayed field personnel onboarding.
The solution
We built an automated due diligence platform where operators upload ZIP files with identity documents. Computer vision agents (Qwen2.5-VL) classify and extract data from each document, a facial recognition module validates photo-to-ID correspondence, and the system generates consolidated XLSX audit-ready reports — all encrypted at rest with Fernet.
Tech stack
Qwen2.5-VL, FastAPI, PostgreSQL, Celery, Redis, Next.js
Timeline
4 months