An Agent cooking assistant that uses LLMs and tools to answer cooking-related queries. This repository implements the AI-powered recipe agent using LangGraph and FastAPI.

AI-powered kitchen assistant that manages multiple distributed agents inventory, recommends recipes, provides cooking instructions, handles waste reduction, and suggests ingredient substitutions using distributed remote agents hosted via A2A server with A2A client orchestration.

🍳 Multi-Agent AI Recipe Assistant using Google's Gemini API. Three specialized agents work together to suggest recipes based on available ingredients, create shopping lists, and provide cooking guidance. Built with Flask, Python, and modern web technologies.

An agentic kitchen AI assistant, whose job is recommend recipes based off of a user's prompt and uploaded recipes. Built in Python using LangChain and CrewAI

Recipe Creator Agent is an AI-powered culinary assistant that creates personalized recipes based on ingredients, dietary preferences, and cuisine, offering step-by-step instructions, substitutions, and health-friendly adjustments.

a Chef assistant that takes feed from the camera and help make any recipe with the help of AI agents working in the backbone of the application

This project demonstrates an AI workflow that transforms standard recipe text into beginner-friendly cooking instructions using a structured format.

AI-powered recipe recommendation system built with Java Spring Boot. Generate personalized recipes from available ingredients using OpenAI GPT. Features modern web UI, PostgresSQL DB, rate limiting, encryption, and comprehensive security audit logging. Perfect for cooking enthusiasts and developers

A RAG-powered multi-agent Generative AI recipe assistant built with CrewAI, LangChain, and Groq LLMs. It delivers contextual chat, adaptive recipe generation, smart shopping, order tracking, and voice interaction(coming soon) — a complete Agentic AI ecosystem using Streamlit.

Multi-agent AI system that transforms cooking videos into structured grocery lists using LLM orchestration and Spring Boot microservices

Recipe Agent using Open AI Assistant API

🍳 Recipe Preparation Agent The Recipe Preparation Agent is an innovative AI-powered culinary assistant developed as part of an IBM internship project. Built using IBM Watsonx AI Studio and the Granite-3-3-8b-instruct model with Retrieval-Augmented Generation (RAG).

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AI Agent food recipe and grocery list assistant

AI-powered recipe assistant using RAG and multi-agent systems

🍳 AI-powered recipe assistant using Google ADK and Gemini 2.0. Multi-agent system for meal planning, recipe search by ingredients, nutritional analysis, and healthy substitutions. Built for Google's 5-Day AI Agents Course.

AI-powered student life assistant with specialized agents for expense tracking, recipe suggestions, code analysis, and travel planning — built with LangChain and Gemini AI.

The Healthy Recipe Agent is an AI-powered assistant that helps users discover recipes from a PDF cookbook. It supports filtering by diet, allergies, and calories, and provides detailed structured recipe information.

An AI-powered cooking assistant that helps with recipe search and ingredient extraction, built with Microsoft Agent Framework and GitHub Models

A recipe assistant using agentic AI, which maintains a digital kitchen inventory and generates weekly or monthly meal plans using LLMs

Chef Beldi is an AI-powered culinary assistant that leverages Agentic Retrieval-Augmented Generation (RAG) to provide accurate, personalized, and reliable recipe suggestions.

Recipe Preparation Agent is an AI-powered assistant built with IBM watsonx that suggests recipes based on available ingredients. It supports substitutions, dietary preferences, and is deployed via Agent Lab as a REST API for easy integration into apps or websites.

An AI-powered recipe assistant that creates personalized recipes based on your ingredients and dietary preferences. Uses Google Gemini API and LangGraph agents to generate recipes, estimate cooking time, provide nutrition tips, and offer alternatives—all accessible via a Streamlit UI.

An interactive AI-powered recipe assistant built using LangGraph and Streamlit. This agent chats with users, understands their cooking needs, and recommends suitable recipes based on ingredients, preferences, cuisine style, and available cooking time — all sourced from a CSV dataset.

The watsonx.ai Nutrition Agent is an AI-powered assistant that creates personalized meal plans and gives healthy eating advice. It adapts to user goals, dietary preferences, and lifestyle to provide calorie guidance, recipes, and grocery lists.

AI-powered nutrition assistant built with CrewAI and Gradio. NourishBot uses multimodal input and multi-agent reasoning to analyze meals, provide nutritional insights, and suggest personalized recipes through an interactive web app.

🛒 AI-powered voice shopping assistant for Zepto with intelligent cart management and recipe-to-ingredients mapping. Features natural conversation, 7 function tools, and real-time order processing. Built with LiveKit Agents, Google Gemini, Next.js, and Python.

Your AI’s personal kitchen assistant—discover recipes, save them as PDFs, and create shopping lists in seconds. Built as a Model Context Protocol (MCP) server with modular tools, TheMealDB API integration, and local PDF generation for seamless agent-driven workflows.