Machine Learning and Artificial Intelligence Based Food Recommendation System

Authors

  • V Prasanna Srinivasan
  • R Senkamalavalli
  • K Kalimuthu

DOI:

https://doi.org/10.65000/fcrg6f92

Keywords:

Machine learning, Artificial intelligence, Food, Safety, Database.

Abstract

Food is an important aspect of our everyday lives and culture. It means that for some people, eating has a strong emotional component. People make decisions all the time. Food proposal framework programming is still in its early stages, with a suggestion framework that focuses on client preferences. In general, we are bewildered about what to eat or attempt next; our solution addresses this issue by recommending meals based on the client's comprehension, cooking assessments, and taste. The order of things sector may utilize a meal suggestion framework to continue to suggest their clients about the cooking, nearly anything on their menu, based on their client likes, hobbies, and request history. Every person has a unique taste, as evidenced by proposal information at each new site, and the customer ranks the finest food supplied. Food profiling, user profiling, and proposing a specific food item based on the most recent customer input are all part of the Food Suggestion Framework.

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Published

30-04-2021

How to Cite

Prasanna Srinivasan, V., Senkamalavalli, R., & Kalimuthu, K. (2021). Machine Learning and Artificial Intelligence Based Food Recommendation System. International Journal of Industrial Engineering, 5(1), 12-16. https://doi.org/10.65000/fcrg6f92