AI Powered Recipe Generator Using MERN Stack

This project introduces an AI-powered Recipe Generator web application built using the MERN (MongoDB, Express.js, React, Node.js) stack, integrated with the Gemini AI API. The application allows users to input available ingredients, select dietary preferences, and choose cuisine styles to dynamically generate customized recipes. The backend, developed with Node.js and Express.js, handles user requests and communicates with the Gemini AI API, which generates context-aware, natural language recipes. MongoDB is used to store user data, including preferences, search history, and generated recipes, enabling personalization and data-driven insights. The React-based frontend provides an interactive user experience, supporting real- time recipe suggestions and a responsive design. This project demonstrates the integration of generative AI with modern web technologies to create a smart, user-friendly solution for meal planning and culinary exploration.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-06-23
DOI
https://doi.org/10.5281/zenodo.15718478
Primary Topic
Culinary Culture and Tourism
Type
article
Field-Weighted Citation Impact
0.00
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article

AI Powered Recipe Generator Using MERN Stack

Zenodo (CERN European Organization for Nuclear Research)
Culinary Culture and Tourism
article

AI Powered Recipe Generator Using MERN Stack

article en

Abstract

This project introduces an AI-powered Recipe Generator web application built using the MERN (MongoDB, Express.js, React, Node.js) stack, integrated with the Gemini AI API. The application allows users to input available ingredients, select dietary preferences, and choose cuisine styles to dynamically generate customized recipes. The backend, developed with Node.js and Express.js, handles user requests and communicates with the Gemini AI API, which generates context-aware, natural language recipes. MongoDB is used to store user data, including preferences, search history, and generated recipes, enabling personalization and data-driven insights. The React-based frontend provides an interactive user experience, supporting real- time recipe suggestions and a responsive design. This project demonstrates the integration of generative AI with modern web technologies to create a smart, user-friendly solution for meal planning and culinary exploration.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 51%
Culinary Culture and Tourism
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