NutriSmart- Food Products Recommendation System

Authors : Priyanka S Talekar, Dr. Raghavendra G S, Basavaraj Vaddatti.

Volume/Issue : Volume 4 - 2019, Issue 5 - May

Google Scholar :

Scribd :

The purchasing behavior of the user is influenced by the recommendations provided to the products. Recommendation can be in the form of review or rating given to a particular product. The food consumed by the peoples includes carbohydrates, fat, protein, minerals and vitamins and any lack of nutrition leads to serious health issues. In this paper, we propose a recommendation system that is trained from the reviews provided by the buyer who has previously used the same product. NutriSmart application recommends the product to buyer based on the experience of the user who has used the same product. Every individual have their own food habits and based on likes and dislikes of user, suggesting an optimized nutrition becomes essential to maintain progress and health of the user. The proposed recommendation system uses deep learning algorithm and genetic algorithm to provide the best possible recommendation.

Keywords : Recommendation System, Optimized Nutrition, Genetic Algorithm.


Paper Submission Last Date
29 - February - 2024

Paper Review Notification
In 1-2 Days

Paper Publishing
In 2-3 Days

Video Explanation for Published paper

Never miss an update from Papermashup

Get notified about the latest tutorials and downloads.

Subscribe by Email

Get alerts directly into your inbox after each post and stay updated.

Subscribe by RSS

Add our RSS to your feedreader to get regular updates from us.