Rafi Khouzam
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Back Office Tagging Tool

A Streamlit-based tool for tagging jewelry images with consistent metadata, used for preparing datasets for Stable Diffusion (LoRA) training and building a text-based image search system.
ML Ops

Problem

Auto tags not perfect → needed quick human confirmation UI.

Solution

Gamified Streamlit review queue with dropdowns & bulk ops.

Impact

  • Tag accuracy ↑
  • Turnaround time ↓

Tech Stack

PythonCLIPStreamlit
View on GitHub
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