Spectacles Recommendation System Based on the Face Shape Using CNN Model

Everyone likes to be attractive. Many people gain self-confidence in the presence of other people. Spectacles are arguably one of the most significant instruments to display one's attitude, in addition to any stylish accessories. Choosing the best frames is the most difficult struggle for a person. Recommending glasses based on their face shape is the main objective of this project. This project works on the automatic extraction of face shapes and classification methods for spectacles frame shapes. Convolutional Neural Network technology was used in the development of this system to choose the best eyewear based on the user's facial shape. The person's face is taken as an input image with good accuracy and the best frame for their face shape is recommended. This research will apply the concepts and principles of an innovation that can provide the frame shape of the glasses.