AI-Powered Research: Coal Mining Museum Document Analysis
Description
A Polish coal mining museum sought to efficiently process digitized historical documents.
Challenge
The system was designed to meet the following requirements:
- The system could process documents in multiple languages, including Polish, German, Russian, Chinese, and others, ensuring broad usability.
- The AI needed to identify and group content into meaningful themes, ensuring each topic was derived from at least four different documents.
- All results, including topic descriptions and reports, were required to be in Polish, regardless of the input document's language.
- The system would generate an Excel report with detailed descriptions of the topics and references to the source materials.
Solutions
To address this, we created an AI-powered system in three weeks to automatically identify potential research topics. The system uses AI algorithms and natural language processing to extract and cluster relevant information from the documents. The final output includes a web application for browsing topics and a comprehensive Excel report with detailed source references. Ultimately, the system streamlines the research process by automating topic extraction and providing curated results to the museum's researchers.
Impact
The implemented system successfully automates the process of identifying potential research topics from the museum’s historical documents. The AI algorithms efficiently extract and cluster relevant information, presenting it as curated topics, each accompanied by summaries and references to the source materials.
