RECOMMENDATION OF INDIAN CUSINE RECIPIES BASED ON INGREDIENTS

Abstract

There are lots of varieties of Indian cuisine available with same ingredients. In India, Traditional cuisines consist of wide varieties due to locally available spices, herbs, vegetables, and fruits. In this paper, we purposed a method that recommends of Indian cuisine on the basis of available ingredients and liked cuisine. For this work, we did web scraping to make a collection of recipes' varieties and after that apply the content-based approach of machine learning to recommend the recipes. This system gives the recommendation of Indian Cuisines based on  ingredients. Recipe Recommendation System for Indian cuisines is a system that learns from the past preferences of a user’s preferred dishes to recommend him/her new, untested cuisines. The basis of recommendation are the ingredients in the recipes already liked by the user.