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AtlasRepo

Kaagaz: I built a private life-admin companion for my parents

Description and use

Kaagaz converts household documents into actionable insights, automatically calculating amounts, deadlines, and changes while keeping data local and requiring user confirmation.

Problem

Parents remember where documents are but forget what each document means and what actions are required.

Outcome

Kaagaz turns household documents into actionable insights, reducing mental load for parents by automating calculations and reminders while keeping data local and under user control.

Workflow

  • Upload document
  • Read & classify with OCR and Gemma
  • Extract facts
  • Validate information with deterministic rules
  • User reviews and confirms data
  • Save confirmed data
  • Generate actions and reminders

Evidence

Kaagaz takes the documents they already have and turns them into something more useful: the important facts, what changed, what is coming up, and what actually needs attention.

Source

Gemma is responsible for understanding the messy part of a document — figuring out whether something is a bill, warranty or notice and extracting the information that matters.

Source

Kaagaz is designed as a local-first application, so the core experience can run on the user's own machine instead of requiring their household documents to be uploaded to a cloud AI service.

Source

The user sees what was extracted and can correct the amount, date, category or other fields before confirming it.

Source

  • Record date: 2026-10-05T04:41:05.316Z