Showstoppers for Ingredients Extraction and Analysis

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Revision as of 15:26, 17 January 2025 by Teolemon (talk | contribs)
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Step 1 - Remove pet food & Cosmetics

Step 2 - Fix ingredients stored in the wrong language

Step 3 - Fix errors of ingredients cutting

Step 4 - Fix errors with Bad OCRs

Step 5 - Bad splitting into individual ingredients

  • Add a multilingual no cut list of words like U.H.T Cat 1…

Step 6 - Bad ingredient properties recognition

  • Processing, Origins, Other properties

Step 7 - Missing translations or synonyms

  • Translate the taxonomies using LLM recipes
  • Add synonyms

Step 8 - Truly untaxonomized ingredients

  • Add those to the taxonomy

Step 9 - Missing or Bad CIQUAL associations

  • Add CIQUAL matches
  • Add matches from other Nutrition databases

Step 10 - Bad or insufficient categorization

  • Identify problematic categories
  • Play Hunger Games on problematic categories

Step 11 - Bad nutrition

  • Clean nutrition

Step 12 - Additional data not the ingredient list

  • Origins, -25% de sel, …