Analyzing the Counterfeit Medicines Based on Classification Using Machine Learning Techniques

Medicines play a vital role in the pharmaceutical industry, dealing in the hospital and treating patients to cure their diseases. Counterfeit medicines are produced and distributed worldwide, increasing the risk to public health. To find counterfeit medicines in drug discovery by using ML algorithms. By analyzing the images in the Machine Learning (ML) algorithms identify the pattern of medicine for the safe supply of drugs that are Random Forest (RF), Naive Bayesian (NB), and Support Vector Machine (SVM). A better result will be obtained by finding the dataset samples applied in the SVM ML algorithms, which gives the accuracy of around 94.5% of the counterfeit medicine.