Prehistoric Animal Museum

Human Atlas is an open-source, browser-based interactive 3D anatomy explorer. It uses selectable BodyParts3D meshes to let users toggle anatomical system layers, search structures, and view exploded arrangements that show how body parts fit together. The video describes it as running locally as a static site without accounts or API keys.

Paper Aquarium is a home game that turns a child's marker-colored A4 sheet into a 3D fish swimming in a browser aquarium, with a phone used to capture the sheet and a large screen used for viewing. Four black corner markers identify the sheet and its species while allowing the capture code to locate it in the photo and undo perspective distortion. The system then crops the drawing along the species contour, removes the printed outline, and maps the result as a texture onto a Three.js fish model; the aquarium positions fish within a camera-frustum-shaped volume and infers their orientation from the animation's tail movement. It includes ready-made fish, food, coloring sheets, backgrounds, multiple aquariums, and phone-to-TV handoff through a QR code, link, or five-digit code. The server uses plain Node with no dependencies, with Three.js stored in the repository; it requires Node 18 or later.

Pictaria Server is a self-hosted photo-intelligence and curation server for Immich libraries, developed by Pictaria. It provides a private web dashboard for collection insights, optional AI enrichment, human photo review, and Smart Albums that synchronize saved Immich searches on a schedule. Its curation workflow groups photos from the same moment into similarity stacks and suggests which photos to keep using frame-worthiness scores; an optional AI referee can compare grouped photos, while human decisions take precedence. Enrichment classifies selected images with operator-hosted Ollama, LM Studio, llama.cpp, or other OpenAI-compatible endpoints, as well as supported cloud providers. Smart Albums can apply saved searches and a Best of mode that ranks results using enrichment data, curation decisions, and photo scores. The server can run as a Docker container or directly on Node.

Fugleramme is a self-hosted bird-display application for Raspberry Pi and web kiosks. It uses BirdNET-Go to detect birds from microphone audio, polls its API for detected species, matches each species to a curated public-domain illustration, and arranges the cut-outs on a textured page with larger birds toward the centre and sizes based on body mass. The display redraws when detections change and can run on a Pimoroni Inky Impression e-ink panel or any network-connected screen; an admin page configures what is shown. The project includes more than 800 illustrations covering over 400 species, with strongest coverage in Scandinavia, the British Isles, and Germany. It can use an existing BirdNET-Go installation, run in a container, or be installed as a systemd service on a Raspberry Pi. Fugleramme's code is MIT-licensed; BirdNET-Go, detection data, artwork, fonts, and taxonomy assets have separate licenses and attribution requirements.