Imagine turning old dusty diaries and records into a personalized digital tour. It's like having a smart guide that knows what you're interested in and shows you 3D reconstructions of buildings that no longer exist. It uses AI to organize thousands of documents so anyone can explore history through their phone or a computer.
Physical archives and eyewitness accounts are disappearing or inaccessible to the public. Traditional museums struggle to engage digital-native generations with static displays of historical trauma.
An AI-driven data pipeline for multilingual records, a 3D reconstruction tool for destroyed buildings, and a personalized recommendation engine for virtual and on-site visits.
If you are a memorial site operator dealing with the loss of physical eyewitnesses — this project developed 3D reconstructions and AR experiences that allow visitors to engage with history virtually. It can process over 80,000 content items to keep history accessible.
If you are an EdTech company dealing with low student engagement in history — this project developed an AI engine for individualized content and interactive learning interfaces. This allows for a personalized educational journey based on user behavior.
If you are a digital archive firm dealing with massive amounts of unstructured multilingual data — this project developed a semi-automated AI data processing pipeline for Dutch, English, and German materials. This accelerates the conversion of raw records into a searchable knowledge graph.
Based on available project data, no specific pricing or cost structures are mentioned.
Yes, the project developed an intersectional toolkit and best-practice documentation intended to accelerate the use of these digital tools in adjacent cultural industries.
Based on available project data, specific licensing terms are not provided, though it mentions the creation of a toolkit for the cultural heritage sector.
The project built an infrastructure designed to assist 50 memorial sites and archives in processing their content items into a persistent public format.
The project period runs from 2022-10-01 to 2026-09-30, indicating it is currently in the development and implementation phase.
The consortium is well-balanced for technology transfer, featuring 11 partners across 7 countries. With a 36% industry ratio (4 industry partners, including 3 SMEs), there is a strong commercial bridge between the 4 universities and the research entities to ensure the AI and 3D tools are viable for the market.
Contact SYDDANSK UNIVERSITET in Denmark
Contact us to explore licensing the AI-based recommendation engine for cultural sites.
