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Private AI · LifeQuest

Folioquay

Local AI that turns a folder of sensitive documents into an organized collection.

My role

Product creator / Architect / Developer

Company / context

LifeQuest

Work represented

Working prototype

Image placeholder for Folioquay
Project imagery to come.

THE WORK

From vision
to implementation.

Designed and developed a Windows application prototype that uses local language models and OCR to classify, rename, and file sensitive documents without sending their contents to cloud services.

Built watched-folder processing, configurable filing rules, account recognition, human review controls, and original-document preservation. Exact-duplicate detection runs before OCR and AI inference to avoid redundant processing.

The product brings a practical business problem together with a deliberate privacy choice: sensitive document content stays on the user’s machine.

Technology & disciplines

Local language modelsOCRWindowsDocument automationDuplicate detection
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