Wine quality prediction by using machine learning
About wine:
Wine is a beverage made from fermented grape and other fruit juices with lower amount of alcohol content. Quality of wine is graded based on the taste of wine & vintage. This process is time taking, costly & not efficient A wine itself includes different parameters like fixed acidity, volatile acidity, citric acid, residual sugar, chlorides, free Sulphur dioxide, total Sulphur dioxide, density, pH, Sulphates, alcohol and quality.
Problem Statement:
In industries, understanding the demands of wine safety testing can be a complex task for the laboratory with numerous analytes and residues to monitor. But our application’s prediction, provide ideal solutions for the analysis of wine, which will make this whole process efficient and cheaper with less human interaction.