Smart Cooking Companion: AI-Personalized Recipe Finder

Our project “ The Smart Cooking Companion: AI-Personalized Recipe Finder ” is an advanced web application designed to transform traditional recipe platforms by addressing challenges such as lack of personalization, ingredient-based search limitations, and static content. This AI-powered system suggests tailored recipes based on available ingredients, cooking difficulty levels, dietary preferences, and cultural cuisines. The application integrates OpenAI, Gemini, and Spoonacular APIs, offering features such as smart ingredient substitution, multilingual voice assistance, personalized dashboards, and gamified cooking experiences. Community engagement is fostered through recipe sharing, reviews, and interactive challenges. The proposed platform is scalable, responsive, and secure, utilizing React, Supabase, Zustand, and PostgreSQL. This paper outlines the methodology, architecture, and user-centric innovations of the system, demonstrating its potential to promote sustainable, inclusive, and intelligent cooking practices. Keywords: AI in Cooking, Personalized Recipe Recommendation, Ingredient-Based Search, Food Waste Reduction, Smart Kitchen Assistant, Voice-Guided Cooking, Community Engagement, Multilingual Support, React, Supabase.

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Publication Details

Journal
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
Published
2025-04-17
DOI
https://doi.org/10.55041/ijsrem44681
Primary Topic
AI in Service Interactions
Type
article
Field-Weighted Citation Impact
0.00
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article

Smart Cooking Companion: AI-Personalized Recipe Finder

M. Shashank
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT
AI in Service Interactions
article

Smart Cooking Companion: AI-Personalized Recipe Finder

M. Shashank
article en

Abstract

Our project “ The Smart Cooking Companion: AI-Personalized Recipe Finder ” is an advanced web application designed to transform traditional recipe platforms by addressing challenges such as lack of personalization, ingredient-based search limitations, and static content. This AI-powered system suggests tailored recipes based on available ingredients, cooking difficulty levels, dietary preferences, and cultural cuisines. The application integrates OpenAI, Gemini, and Spoonacular APIs, offering features such as smart ingredient substitution, multilingual voice assistance, personalized dashboards, and gamified cooking experiences. Community engagement is fostered through recipe sharing, reviews, and interactive challenges. The proposed platform is scalable, responsive, and secure, utilizing React, Supabase, Zustand, and PostgreSQL. This paper outlines the methodology, architecture, and user-centric innovations of the system, demonstrating its potential to promote sustainable, inclusive, and intelligent cooking practices. Keywords: AI in Cooking, Personalized Recipe Recommendation, Ingredient-Based Search, Food Waste Reduction, Smart Kitchen Assistant, Voice-Guided Cooking, Community Engagement, Multilingual Support, React, Supabase.

INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENTVol. 09(04)
CSL (United Kingdom) (GB)
Openalex Percentile: Top 97%
AI in Service Interactions
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