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AI-powered culinary companion that turns leftovers into gourmet meals. Features intelligent recipe generation, batch cooking planning, and scientific dish rescue. Built with Next.js 16, TypeScript, MongoDB & Llama 3 (Groq).
"Omnifood-FoodDelivery" is housing an innovative food delivery website project named Omnifood. This repository contains the complete source code, and interactive features that power Omnifood's seamless online food ordering experience.
A procedural cooking engine that generates novel recipes using molecular flavor science, texture pairing, and taste balance analysis — with optional AI Chef integration.
Carta Digital QR interactiva para restaurantes con pedidos automáticos directos a WhatsApp. Solución 0% comisiones, actualización de precios en tiempo real y sin descargas de apps. Ideal para restaurantes, bares y cafeterías.
Comprehensive e-commerce web platform built with Next.js featuring dual portals for buyers and sellers. Connects mushroom growers directly with consumers, eliminating middlemen and maximizing farmer profits.
Order your food ahead and skip the line — pickup at the exact time you choose. An AI assistant builds the order for guests; an AI advisor helps venues grow sales
ConvNeXt-CLF-75 is a food image classifier fine-tuned from ConvNeXt_tiny on a curated subset of 75 food categories from the MM-Food-100K dataset. The model is designed to serve as a semantic guide for a downstream segmentation network in a calorie‑estimation pipeline. The classifier outputs class predictions (multi-label).