School students will develop an AI solution for a platform of cultural objects

Participants of the Urals project shift at the Sirius University of Science and Technology will develop digital tools for assessing the investment attractiveness of cultural heritage objects on the basis of artificial intelligence. This was reported in the press service of DOM.RF, which became an industrial partner of the event.

The tool is supposed to be implemented in the work of the platform "heritage.dom.rf", which helps to monitor the progress of restoration of the cultural object and attract private investment. The test version of this platform is launched by DOM.RF in 2024 with the support of the Ministry of Culture.

The schoolchildren's development will be based on machine learning models and will make it possible to visualize objects after restoration and plan their future use.

Nikolai Kozak, Managing Director for IT and Digital Transformation of DOM.RF, specified that the project will require the team to develop an extended card of a cultural heritage object for the "heritage.dom.rf" platform. "Such a tool can provide potential investors with the most complete and visual information about the possibilities of restoration and adaptation of the object," Kozak noted.

He added that DOM.RF, taking into account its experience in the development of AI technologies, is ready to provide "support to young researchers and help put the project into practice."

A team of schoolchildren under the guidance of a mentor will go through all stages of project development - from the technical specification to the creation of a prototype. Participants will be advised by specialized specialists of DOM.RF. At the end of the shift, the team will present their project to a jury. For schoolchildren will also hold events dedicated to the construction industry and career opportunities. The shift will end on January 29.

The Ural Project Shift is a gas pedal of scientific projects organized by the Ural Federal University (UrFU, Ekaterinburg). Tasks for the teams are offered by large companies, business and government agencies. This year 100 schoolchildren of 8-11 grades from the regions of the Urals and Siberia, who passed a competitive selection process, are participating in the project shift.