With this page I want to give you the opportunity to experience my works in the field of cultural heritage.
Making use of the model-viewer from google I implemented this simple 3D- & AR-Viewer to be able to look at digitalized objects in detail.
Upload your own 3D model (.glb) to view it instantly in your browser or experience it in your space via Augmented Reality. Your data will not be saved.
Making use of Large Language Models (LLM) via the Ollama platform, Retrieval-Augmented Generation (RAG) and n8n for agentic behaviour, I implemented this locally hosted AI-Chatbots to provide instant support for different topics.
Your queries are processed in real-time and are not used for further model training.
By clicking the buttons below, you will enter an interactive Gaussian Splat visualization made with either the „PlayCanvas“ engine or the open source „Aton“ framework.
Unlike traditional 3D models, this technology uses advanced point-cloud rendering to create a photorealistic, cinematic representation of the real-world environment.
Making use of a Python-based Luigi ETL framework, this automated multi-source data pipeline extracts performance metrics from Matomo, Instagram, and Pretix on a monthly basis to capture the full preceding month.
The analytics are processed entirely on local, GDPR-compliant infrastructure and are visualized here via this self-hosted Metabase dashboard, which updates automatically as soon as new monthly data becomes available.