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@article{180392,
author = {Sinchana K N and Jeevan Gowda L S and Nithin M G and Mohith H P and Shashidhara H V},
title = {Generating Smart Recipe Using Artificial Intelligence},
journal = {International Journal of Innovative Research in Technology},
year = {2025},
volume = {12},
number = {1},
pages = {2079-2085},
issn = {2349-6002},
url = {https://ijirt.org/article?manuscript=180392},
abstract = {Contemporary
machine
learning
applications in food preparation have transformed
traditional cooking methodologies through automated
content generation and intelligent meal orchestration
systems. This research presents a comprehensive
culinary intelligence platform that interprets multiple
data streams including written specifications,
photographic inputs, and spoken directives to create
tailored cooking instructions and nutritional guidance.
The developed framework analyzes available food
items, processes culinary photographs, and decodes
verbal communications to provide customized meal
recommendations that respect dietary constraints,
resource limitations, and individual tastes. Our
approach integrates linguistic analysis technologies
with extensive food databases to produce both creative
culinary
concepts
and scientifically validated
preparation methods. Performance assessment reveals
92% consistency in culinary logic and 88% feasibility
ratings from culinary professionals, surpassing
conventional single-mode cooking applications. This
investigation examines real-world applications across
domestic kitchens, commercial food services, and
educational culinary programs while addressing ethical
implications of machine-generated cooking content.
The technology shows considerable promise for
improving culinary experiences through intelligent,
responsive meal preparation support.},
keywords = {intelligent cooking platforms, machine learning recipe synthesis, culinary technology, personalized nutrition planning, automated food preparation systems},
month = {June},
}
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