Abstract: A system for blockchain based digital therapeutic devices to predict food-drug constituent interaction. This uses a set of Algorithms to collect, process, cluster, structure and analyze User input data, and a set of Algorithms to collect, process, cluster, structure and analyze Scientific Modules of Drug, Food data and associated literature. There is a also a set of Algorithms to establish credible correlation and relationship between input data sources by various advanced machines learning models to fetch the required outputs by processing, analyzing and structuring input data. A set of Algorithms is used to interact the user data with Drug-Food Scientific modules and Literature. Machine learning models to predict Drug-Food Interactions and learn user preferences and habits.