1. Platforms
Our company develops online learning platforms for students with the ability to publish texts, video, audio, create tests, quizzes and integrations of:
· student neuromentors
· digital alter egos for online broadcasts.
Platforms are created in JavaScript, React.js library is used to create the user interface. Node.js framework is used to work with servers. Furthermore, PostgreSQL relational database management system is used to work with databases. Software used to create Visual studio code platform.
2. VR applications
Our company develops applications/games for VR headsets with 3D animation and 3D textures, the ability to interact with virtual objects using hands or eyes, and the ability to integrate learning programs for students into this environment.
Development of applications for virtual reality headsets operating on Android OS is carried out using Unreal Engine software version 4.2.4, C++ programming language and Blueprints visual scripting system.
3. Digital alter egos
Our company develops digital alter egos for further use in online broadcasts or creating video materials, as well as using them in metaverses.
Development of a digital alter ego has following stages:
- Creation of the body and skeleton is done in Character Creator software using Embedded Python programming language.
- Hairstyles, shoes and accessories, (and partially clothing), as well as all three-dimensional objects in the virtual world where the avatar is located are created in blender and Zbrush software using Python and ZScript programming languages.
- The clothes are created in the Marvelous Designer software using the C++ programming language.
- Virtual space and gameplay are built and programmed on Unreal Engine using the C++ programming language.
- Since each of these programs uses different programming languages and are compatible with each other, the final project is assembled in the video game format on Unreal Engine 5 software.
4. Neuromentors
Our company develops neuromentors that are able to work with students, namely, to answer students' questions on the material they have studied. Neuromentors are created using Python language, Langchain and Huggingface frameworks, as well as the chatGPT 3.5 Turbo speech model.