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Decision Log

ML Image Recognition Desktop App

Problem:

Large photo libraries aren’t searchable by meaning (tags/text/similarity).

Constraint:

Must run offline for privacy; limited local compute; fast post-index search.

Decision:

Build an offline indexing pipeline; support more than one model option.

Trade-off:

Slower first scan + larger local index; tuning required per dataset.

Result:

Private local search by tags/OCR/similarity with predictable costs.

Next:

Improve ranking quality + reduce indexing time; add better filters UX.