Our project aims to develop a machine learning model to compare and contrast images sourced from Flickr, a platform with user-uploaded photographs, against those generated by ThisPersonDoesNotExist, which uses generative adversarial networks (GANs) to create lifelike human images. We'll evaluate the nuances in authenticity and quality
I created the initial version of the UI using streamlit. The app has code the already integrated the model (When it will be available) to give the predictions and assign the classification category, in the meantime the app works with random choice between Fake and Real to test how it looks. The elements in the UI I include are:
Logo
Tittle and description
Box to upload or drag and drop the image, and code to show the uploaded image.
The answer of the classification if it is real or fake with raining icons to make it look nicer.
I created the initial version of the UI using streamlit. The app has code the already integrated the model (When it will be available) to give the predictions and assign the classification category, in the meantime the app works with random choice between Fake and Real to test how it looks. The elements in the UI I include are: