Abstract

The main goal of this project is to predict wine quality whether it is good or bad. For centuries tasting has been done by humans and they have always predicted on the basis of sensory organs. But in recent times the industries are adopting newer technologies and applying them in all kinds of areas. But, still there are many areas in which human expertise is needed like product quality assurance. Nowadays, it becomes an expensive process as the demand of product is growing over the time. Therefore, this project searches different machine learning techniques such as MLP classifier, Decision Tree classifier, Support Vector Machines (SVM) for product quality assurance. These techniques do quality assurance process with the help of available characteristics of product and automate the process by minimizing human interference.