Development of web applications in which AI models and data-driven functionality form part of the main application workflow.
Projects can include backend services, model integration, databases, user interfaces, authentication, asynchronous processing, and APIs.
Examples include scientific applications, analytical tools, AI assistants, data platforms, and domain-specific online services.
Implementation is selected according to the available data, technical constraints, required level of automation, and the existing software or research environment. The solution can be implemented as a standalone component or integrated into a larger system.
The resulting system is intended to provide a clear computational workflow that can be evaluated, maintained, and extended as the project develops. Model choice, data processing, interfaces, and deployment can therefore be adapted to the requirements of the specific project.