Flower Classifier Web App Using Ml & Flask Web Framework

Machine learning is a branch of artificial intelligence (AI) and computer science which focuses on the use of data and algorithms to mimic human learning, gradually improving its accuracy. Machine learning is an important part of the growing field of data science. Through the use of mathematical ways, algorithms are trained to make categories or predict, revealing important details in data mining projects. In this project we will be using the flask web framework to produce our Machine Learning model for flower extraction using the IRIS database. The set of data contains 50 samples for each of the three categories of Iris (Iris setosa, Iris virginica and Iris versicolor). Four dimensions were calculated for each sample which are length and width of the sepals and petals, in inches.