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🚧 Building a Food Additive Checker Web App — Need Better Data Sources! I'm working on a web app (built with Langflow, Python, and Streamlit) that lets users upload food label images. It extracts ingredients via OCR, auto-generates reports on food additive safety, and allows users to ask questions about those additives. Previously, I used a manually created PDF as the knowledge base—but it wasn’t scalable or reliable. I'm now looking for better, structured sources or APIs that can: > Identify additives from OCR text (like “E330” or “sodium benzoate”) > Indicate whether they’re safe to consume > Optionally support Q&A or context-aware querying Is there any API, open dataset, or model context protocol (MCP) you’d recommend? Thanks in advance! 🙏
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