Paper Key : IRJ************372
Author: Revathi S,Selvan M ,Shivani Kumari,Zaki Ahmad
Date Published: 03 Apr 2025
Abstract
Preparing meals is a routine task for many people, which can lead to it becoming a dull endeavor. At times, it can be challenging to come up with new and exciting that can be made from the ingredients on hand. Lack of culinary expertise can lead to disproportionate use of ingredients resulting in wastage. Also while cooking, ones hands are unclean to be able to look the recipe in their smart device or recipe books. For beginners cooking can also become a hassle because they might not know names of many ingredients. Our proposed system intends to help everyone with their daily cooking. Using our application one will be able to escape their monotonous cooking routine by using ingredients detection system along with recommendation model. Using our application user will be able to scan the available ingredients through which we will recommend best suitable recipe for them. For detecting the ingredients we will apply CNN algorithm with parameter optimization. CNN is the state-of-the-art approach to Machine learning, with significantly higher accuracy then traditional support-vectormachine-based algorithm. Our application will store the detected ingredients of the user in the database and recommend recipe accordingly in the home page. Further recommendation on the home page would be based on the historical patterns of the user, while recommending we will be using various factors such as cuisine preference, ingredients, cooking time, etc. Using NLP we will serve the voice control feature to the users through which they will be able to hear the recipe at their own pace, in case their hands are unclean. Our goal with NLP is to eliminate language barriers, enabling individuals who are not proficient in English utilize our application and explore the diverse cultures of various regions through their culinary offerings.
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