Cuisine Prediction from Ingredients
Done at Erdős Institute, May, 2022
While participating at the Erdős Institute bootcamp during Summer 2022 we worked on a project for predicting the cuisine of a recipe from the list of its ingredients.
Analyzed the text data of ingredients for recipes from 20 different cuisines.
Cleaned the data and trained multiple different classification algorithms using Word2Vec, Neural Network, XGBoost, Random Forest, and came up with an 80% accurate classification model for predicting cuisines from ingredients
Please access the project repository here