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Intelligent Philippine market recipe pricing platform powered by WFP HDX commodity datasets and a deterministic pricing engine.

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Automated ingredient pricing calculation and serving cost breakdown for local dishes.
Project Overview
Pamilihan AI is an intelligent recipe costing and market intelligence platform designed for Filipino home cooks, food businesses, and caterers. It calculates the exact cooking cost of dishes based on real-time commodity prices across Philippine wet markets ('palengke') and supermarkets.
Key Capabilities & Features
- Regional price grounding matching ingredients to specific Philippine regional markets (NCR, Region VII, Region XI, etc.).
- Intelligent unit conversion engine normalizing wet market units (tali, dakot, kilo, piraso, lata) into standard metric prices.
- AI recipe parser turning freeform recipe texts, grocery lists, or URLs into priced line items.
- Per-serving cost breakdown helping small food enterprises price their menu offerings accurately.
Architecture & Engineering Highlights
- [1]Deterministic calculation pipeline: ensures reproducible, transparent math while using AI strictly for semantic normalization.
- [2]Integration with WFP Humanitarian Data Exchange (HDX) for validated, real-world Philippine commodity benchmarks.
- [3]Optimized client bundle delivering instantaneous price updates and offline recipe drafting.
Built With
Frontend
React 19ViteTypeScriptTailwind CSSInter / SF Pro
AI & NLP
Vercel AI SDKLLM Structured OutputsIngredient Semantic Parser
Data & Pricing
WFP HDX Commodity DatasetsDeterministic Unit EngineZod Validation
Hosting
VercelEdge Network