Thomas Piacentini
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Project brief

Lost Item Match Desk

Original text · English

Help a community venue match lost-item descriptions with photographed found objects. Combine explicit text features, simple image-color descriptors and optional reviewed vision proposals, then export an HTML candidate-pair desk and a decision file for the venue's existing records.

Proposed milestones

  1. Import object descriptions, photos and intake identifiers
  2. Compute text and image features independently
  3. Rank candidate pairs and review conflicting evidence
  4. Export match decisions with their source records

This is an upstream project brief; an implementation and completion tests are not supplied.

Code and artifacts 1
What you take away

Saved in your notebook on this device.

Sources and limits

Reading checkpoints are self-reported. Test results are recorded separately and apply to the executed cases.

AI Engineering from Scratch · 3f9715c · MIT

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