In this research, models have been made to predict “Cuisines from Ingredients.” Many applications like prediction of top 100 cuisines based on mood and keeping in mind the health of the user, predicting similar dishes to the query dish, and comparison between optimized models on the basis of money loss that they incur if the food intake is not right are covered in this research. Formation of different patterns and combinations resulted when various machine learning models were applied to the given Yummly dataset of a wide variety of cuisines. These models provided a range of accuracies and the best one was used for each purpose according to the motto “survival of the fittest.”
CITATION STYLE
Agarwal, I. (2020). Intelligent refrigerator. In Advances in Intelligent Systems and Computing (Vol. 910, pp. 241–258). Springer Verlag. https://doi.org/10.1007/978-981-13-6095-4_18
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