Project 2: Celebrity Face Recognition Project

  • Created a tool that predicts famous celebrities from a scraped image dataset with 78% accuracy.

  • Scraped over 1000 images from Google photos using python and selenium.

  • Engineered features from the images of every Celebrity to identify face and eyes and cropped the perfect portion by using OpenCV(Haarcascades) and Wavelet.

  • Optimized SVM, Random Forest, and Logistic Regression using GridsearchCV to reach the best model.

  • Built a client facing UI using JavaScript, HTML and CSS.

  • Built a client facing API using flask.

Celebrity Face Recognition UI

This project’s GitHub Repository