• Ashish Bharam
• Kunal Baldota
• Atul Jagtap
• Aqeeb Pansare
• Prof. Shobha Bamane

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.

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

"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

"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