E-Stylist: A Machine Learning Aided Fashion Stylist

The common key to success in all sectors is perfect attire. The first thing a person showcases is his/her personality, a significant portion of which is taken by the attire. The art of dressing up in the right manner is not known to all. Not everyone is skilled to be a fashion stylist. But it is important that one has his/her style right to get recognized. This project uses machine learning to create an application that will act as a fashion stylist for the end user. The application takes as input the event the user wants to dress for and an image of the user. The image can be captured in real-time, or a pre-existing image can be fed to the application. The application performs feature extraction on the image and displays certain features as a result. These include gender, hair color, hair length, height, body shape, skin tone and the event for which the attire seems best suited. The system then recommends an image that suggests an attire the user can consider wearing for the kind of event he/she mentioned according to his/her body features. This recommendation is based on the features extracted from the user's image and the previous learnings of the model. The technologies used for the project are Python and TensorFlow.