Turning Mining Archives Into AI-Driven Research Intelligence
Accelerating heritage research with multilingual topic mining.
TIMELINE: 3 WEEKS
COUNTRY: POLAND
TEAM: SOFTWARE DEVELOPER & SENIOR AI ENGINEER
This project is not available to the public.
Accelerating heritage research with multilingual topic mining.
TIMELINE: 3 WEEKS
COUNTRY: POLAND
TEAM: SOFTWARE DEVELOPER & SENIOR AI ENGINEER
This project is not available to the public.


We built an AI-powered proof-of-concept that transforms historical coal mining documents into structured research insights, helping the Coal Mining Museum automate discovery and save weeks of manual work.
The museum’s digitization team needed a way to analyze thousands of multilingual historical documents. Researchers struggled to identify recurring themes and manually extract meaningful topics across large archives. The goal was to create a system that automatically detects and describes potential research areas, complete with traceable citations.
In just three weeks, our team delivered an AI-powered topic mining system integrating clustering algorithms and Large Language Models (LLMs) to process and summarize content from multiple languages into Polish.
The solution was built around three key components:
Snowflake for scalable ingestion and preprocessing of unstructured documents.
NLP with vector embeddings and DBSCAN clustering for semantic text grouping.
LLMs generate concise Polish topic summaries with multi-source references.
A Streamlit interface allowed museum researchers to explore the discovered topics interactively and export structured Excel reports for further study.
The system automated what was once a manual, time-intensive process. It enables the museum:
Saves significant time and resources by automating research and document review
Ensures reliable insights through automated source citation and verification
Continuously expand the dataset with new documents
Streamline research workflows and scale ongoing digitization efforts
In three weeks, the museum gained a functioning AI proof-of-concept that turns complex historical data into accessible, actionable research intelligence.
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