DANNER ELIAN MARIACA SULLCA@Danner_Mariaca

The project focuses on the development of an advanced metalinguistic assistant that not only translates words into the selected language, but also has the ability to recognize and process sign language. This assistant seeks to facilitate multilingual communication in real time, offering an inclusive and accessible solution for people with different linguistic abilities. To achieve this, we are using Python, taking advantage of its powerful computer vision and translation libraries. The project integrates deep learning techniques and artificial intelligence algorithms to ensure accurate translations and reliable sign language detection, marking a significant advance in human-computer interaction.