Presently, people choose to live affluent living. They usually display the things or use them on a regular basis. In recent decades, red wine has become extremely prevalent. As an outcome, verifying the quality of wine before ingestion has now become essential for an individual to have a healthy life. In a nutshell, this study provides the first start in predicting red wine qualities focused on a range of parameters. We constructed multiple classification techniques to estimate if red wine is "excellent quality" or not using Kaggle's Red Wine Quality database. A “quality” score of 0 to 10 is assigned to each wine in this dataset. We transformed the result to a binary output for this project, where each wine is either “good quality” (a score of 7 or more) or not (a score below 7).Constant acidity, variable acidity, citric acid, residue sugar, Chlorides, Overall sulphur dioxide, free sulphur dioxide, entire sulphates, density, pH, plus alcohol level are among the 11 input variables that will be used to determine the quality of a wine. The following are the project's objectives: To test various classification systems to find which one provides the most accuracy and precision and to figure out which characteristics are most suggestive of high-quality wine.