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GRENZE International Journal of Engineering and Technology Vol. 11 (2025), Issue 1

Smart Recipe: Intelligent Recipe Generator and Image Analysis Framework

Authors

G. Laxmi Deepthi, K. Bhavishya, N.S.S. Lakshmi, V. Rishitha, V. Likitha Chowdary

Abstract

Many people appreciate food photography because it shows the beauty and attraction of food while also suggesting the detailed stories and recipes contained within each dish. However, photographs cannot describe the cooking procedure or provide a list of necessary items. This problem is aggravated when you are looking forward to cooking a delicious supper only to learn that you are missing certain essential items. The problem is compounded when access to markets is limited, as it was during the COVID-19 pandemic, when lockdown and supply shortages made it difficult to purchase vital products. A solution is presented to assist individuals in finding meals using things that they currently have in their kitchen. Users can simply enter the ingredients they have on hand to generate complete recipes with step-by-step instructions. In addition, the system can evaluate recipe photos to generate ingredient lists and cooking directions. The system develops personalized recipes by linking user input with a huge recipe library via a powerful natural language processing model. It uses cutting edge computer vision algorithms to recognize and extract text from recipe photographs, resulting in organized ingredient lists and straightforward step-by-step instructions.