A User Preference-Based Food Recommender System using Artificial Intelligence

The World Health Organization has identified the growing prevalence of non-communicable diseases, including premature cardiac diseases, cancer and diabetes, as a significant concern. A significant public health issue, unhealthy eating habits have a significant impact on an individual's overall health. The development of systems that are able to suggest nutritious recipes that can effectively influence eating behavior is one potential approach to resolving this problem. This would make it easier for people to change their eating habits. This paper presents an extensive layout of the general structure of our feast idea framework. The cycle begins with the list of relatives, which is accordingly trailed by the assortment of individual food inclinations and variables relating to the season. One eminent trademark includes the joining of a remote helper into sound/show gadgets through the Web of Things, which further develops client situated menu suggestions and advance a feasting experience that is not difficult to explore and charming for the user.