Halal Food Scanner routes Gemini Flash OCR to deterministic tables to prevent hallucinations
Tactic · Dev.to · stat: 401 rows Halal Food Scanner restricts its vision models to text extraction while relying on a human-reviewed lookup table for product compliance verdicts. Developer Ahmed…
Tactic · Dev.to · stat: 401 rows
Halal Food Scanner restricts its vision models to text extraction while relying on a human-reviewed lookup table for product compliance verdicts. Developer Ahmed Ashour implemented the hybrid architecture after vision benchmarks hallucinated non-existent ingredients, pairing Gemini Flash extraction with a static database of 401 categorized E-numbers.
Using LLMs strictly for extraction while keeping logic in code wins Founders building high-stakes applications should isolate vision models to OCR and retain decision logic in deterministic lookup tables.
Dev.to post by Ahmed Ashour
Per Ahmed Ashour's post on Dev.to.
Uncertain classifications vastly outnumber explicitly haram additives, reflecting how multi-source ingredients drive the reliance on deterministic lookup tables over AI guesses.
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