Construct Food Safety Traceability System for People Health Using the Internet of Things and Big Data

Construct Food Safety Traceability System for People Health Using the Internet of Things and Big Data

Authors- P.Abinaya, Dr. S.Prasanna

Abstract-It is well known that eating a healthy diet is crucial to preventing and managing non-communicable diseases (NCDs). The nutritional components of food that aid in the rehabilitation of NCDs, however, are currently the subject of scant research. Using data mining techniques, we conducted a thorough analysis of the connection between diseases and dietary components in this study. First, we gathered the banned and suggested foods for each of the more than n ailments that were obtained. Experiments on actual data demonstrate that our data mining-based methodology outperforms the conventional statistical method. As precisely as possible, we can help physicians and disease researchers identify beneficial dietary components that support the recovery of various illnesses. Some data are currently unavailable as they are still undergoing medical verification. The uploaded dataset will be pre-processed, feature extracted, noisy data eliminated, and classified using the random forest method. Based on this analysis, the individual’s food intake will be used to predict their disease.

DOI: /10.61463/ijset.vol.13.issue3.145