From the time of covid,we know that the need of clinical assets ,such as professional and medical care workers, medications and valid hardwares demand got more high.The entire clinical department gave us the result in the demise of many individuals.So due to lack of medication support,people began to take the drugs on their own without doctor consultaion which in return cause more harm than good. Nowdays,Artificial Intelligence has become more important in the creative work.This research aims to present the drug recommendation framework that can decrease the work pressure of specialists.In this study we develop a medication recommendation framework that uses patient audit to predict the current situation of the patient by various process such as TF-IDF,Word2Vec analysis in which it helps us to suggest the best medication for given illness using different calculations

Medical Analysis,Pharmaceutical Prescription,Drugs Dataset review,Patients audit