https://github.com/AmeenUrRehman/DataScienceProject-ClassificationofCelebrities This code sample enables us to classify distinct celebrities by training the machine with the different celebrity faces and return the name and percentage of the face match against the remaining celebrities and will show a warning sign if both of the eyes of the celebrity are not visible in the image. The code consists of a website layout using HTML, CSS, and JavaScript that operates on the Python Flask server as the backend. In this project, I have used Machine Learning algorithms such as Support Vector Machine(SVM), RandomForestClassifier, and GridSearchCV, etc for accurate prediction of celebrities, performed feature engineering, Exploratory Data Analysis for low bias and variance, and used data visualization tools python libraries such as seaborn and matplotlib, etc. This code sample helps the user to distinguish between celebrities by giving celebrity faces in dropbox with both eyes visible and will know how broadly artificial intelligence and machine learning are capable of in their accuracies while serving and comparing the distinguished faces and returning the right face with the name and percentage of similarity.