UGC Approved Journal no 63975

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 8 Issue 7
July-2021
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

7.95 impact factor calculated by Google scholar

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Published Paper ID:
JETIR2107363


Registration ID:
312397

Page Number

c701-c708

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Title

Location Based Recommendation of Indian Cuisine Recipes based on Ingredients using Machine Learning Techniques

Abstract

There are plenty of sorts of Indian delicacies available with the same ingredients. In India, traditional recipes are varied due to the locally available spices, vegetables, fruits & herbs. In this paper, we purposed a way that recommends Indian recipes based on readily available ingredients and popular dishes. In this task, we perform a web search to create a collection of recipe types and apply a content-based approach to machine learning to recommend recipes. This system provides Indian food recommendations based on ingredients.

Key Words

Machine Learning, content-based filtering, NLP, Indian cuisine, Web scraping, Recommendation System

Cite This Article

"Location Based Recommendation of Indian Cuisine Recipes based on Ingredients using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.8, Issue 7, page no.c701-c708, July-2021, Available :http://www.jetir.org/papers/JETIR2107363.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Location Based Recommendation of Indian Cuisine Recipes based on Ingredients using Machine Learning Techniques", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.8, Issue 7, page no. ppc701-c708, July-2021, Available at : http://www.jetir.org/papers/JETIR2107363.pdf

Publication Details

Published Paper ID: JETIR2107363
Registration ID: 312397
Published In: Volume 8 | Issue 7 | Year July-2021
DOI (Digital Object Identifier):
Page No: c701-c708
Country: Pune, Maharashtra, India .
Area: Engineering
ISSN Number: 2349-5162


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