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https://foodwastelytics.vercel.app/ Foodlytics is an AI-powered food waste command centre that helps operators, policy analysts, and households take action against food waste — targeting a 50% reduction against a January 2026 baseline across South Asia, East Africa, and Latin America. THE PROBLEM One-third of all food produced globally is wasted. That is 1.3 billion tonnes per year, $1 trillion in economic losses, and 8% of global greenhouse gas emissions. The data to fix this exists, but it is fragmented across government reports, academic papers, and siloed databases — inaccessible to the people who need to act on it. HOW IT WORKS Foodlytics ingests live food waste interventions from the web using Gemini 3.5 Flash with Google Search grounding, stores them in a structured database, and automatically vectorises each intervention for semantic search. An AI advisor answers questions from operators and policy teams, grounding every response in the live intervention database and FAO supply chain guidelines. Every answer includes citations traceable to a real source. When an intervention underperforms, an autonomous Gemini agent investigates. It calls five tools in parallel — satellite crop anomaly feeds, demand signals, FAO loss rate coefficients, waste event history, and a semantic knowledge base — then writes a corrective action brief with a measurable 30-day recovery target. A household waste tracker lets users log discarded food with automatic CO2 and water impact calculations. The AI advisor uses this personal data to give tailored recommendations, not generic tips. A fridge scan feature is designed but not yet connected to the frontend. Users would photograph their fridge and receive expiry risk estimates and zero-waste recipe suggestions powered by Gemini Vision. TECHNOLOGY Built on Next.js 16 and Vercel for the frontend, Supabase with pgvector for the database and vector search, and Gemini 3.5 Flash with Gemini Embedding-001 for AI generation and 1536-dimensional semantic embeddings. Foodlytics is not a dashboard that shows you the problem. It is an action engine that finds interventions, monitors them, investigates failures, and grounds every AI response in real citable data.

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