Year: 2025
Type: article
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.
DOI: 10.55041/ijsrem44681
Author: M. Shashank
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: bronze
OpenAlex ID: W4409545514