This application, written in Python, identifies images in an uploaded image and describes them. The faces in the image are identified using MTCNN Python package. The attributes of the identified faces are recognised using an Efficient Net NN model trained on more than 129,000 celebrity faces. The UI for the app is created using Streamlit Python package.

This application, written in Python, allows the user to mannually tag a series of images to be used as a training and validation dataset. The tags are strored in a relational database on AWS infrastructure.