Due to rapid progress in the field of neural networks and the emergence of various types, new possibilities are opening up for creating complex neural networks that can serve as digital replicas of humans.

To implement this idea, several main types of neural networks are used, such as Generative Adversarial Networks (GAN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), Long Short-Term Memory Networks (LSTM), and others. Each of these network types is responsible for different functions, ranging from image generation to short-term memory formation.

Currently, there are already some combinations of neural networks, such as “heygen,” which train voice models, enable voiceovers, translations, and even partial modification of a person’s facial expressions.

To implement this idea, it is necessary to familiarize oneself with existing combinations of neural networks and study the source code of ready-made projects.

Ultimately, it is possible to create a website where users can create their own digital copies. For example, a person will be able to upload a photo of their face (to create a 3D model), record their voice (to form a voice model), take a psychological test (to determine their psychological type), describe their behavioral characteristics, things that irritate them, and so on.