A Dynamic Recipe Ecosystem Powered by User-Driven Intelligence
International Research Journal of Modernization in Engineering Technology and Science · 2024
The culinary landscape is vast and ever-evolving, leaving home cooks overwhelmed by an abundance of recipes and struggling to find inspiration.This project addresses this challenge by developing a self-organizing web application that leverages intelligent algorithms and user input to personalize recipe discovery and organization.Our project leverages a combination of machine learning and human-curated data to dynamically adapt and improve.Users describe their preferences, dietary restrictions, and ingredients on hand, triggering AI-powered search functionalities.The app presents tailored recipe suggestions, learns from user feedback, and utilizes collaborative tagging to continuously refine its recommendations.AI algorithms analyze user data and context to recommend dishes aligned with preferences, dietary needs, and available ingredients.Advanced search functions enable users to find specific recipes based on diverse criteria, including flavors, cooking times, and dietary restrictions.This project aims to empower home cooks of all skill levels by providing a userfriendly platform for recipe discovery, organization, and collaboration.Through AI-powered personalization and continuous user interaction, the app fosters culinary creativity, reduces food waste, and enhances the overall cooking experience.