Weylus is a cross-platform application that turns tablets and smartphones into graphic tablets/touch screens for computers. It operates by running a local web server that serves a web page to the tablet's browser. The web page captures pointer, touch, stylus, keyboard, and wheel events via JavaScript PointerEvents and sends them over a WebSocket connection to the server. The server then simulates these input events on the host machine using platform-specific mechanisms: on Linux it uses the uinput kernel module for full stylus/touch/mouse/keyboard support; on macOS and Windows it falls back to the autopilot library for mouse/keyboard simulation and Windows-specific synthetic pointer injection for touch/pen. Simultaneously, Weylus captures the screen (or a selected window/monitor) using platform-native APIs: X11 shared memory (XShm) on Linux X11, PipeWire/GStreamer on Wayland, CoreGraphics on macOS, and DirectX via captrs on Windows. The captured frames are encoded into a fragmented MP4 H.264 video stream using a statically linked ffmpeg (libx264) with optional hardware acceleration (VAAPI, NVENC, VideoToolbox, MediaFoundation). The video stream is sent to the browser via the same WebSocket connection and played using the Media Source Extensions API. The application provides a GUI (built with FLTK) for configuration and a headless mode for automation. It supports access codes, custom input areas, and multiple simultaneous clients.
Alumnet is a full-stack, AI-powered alumni exhibition and management system designed for school history museums. It consists of three workspaces: a touch-screen kiosk frontend (client) built with Vue 3, Three.js, and Tailwind CSS; an admin dashboard (admin) using Vue 3 and Element Plus; and a backend server (server) built with Express, TypeScript, PostgreSQL (with pgvector), and Qdrant for vector search. The system provides alumni CRUD, AI-powered natural language search via RAG, 3D galaxy visualization, timeline corridor, interactive message boards, video greetings, donation management, and comprehensive admin controls including content audit, backup/restore, and data import. It features JWT authentication with role-based access, privacy data masking, rate limiting, and a layered architecture (routes → services → repositories). The codebase includes extensive testing (unit, integration, property-based with fast-check) and is deployable via Docker Compose or PM2. While primarily an application, it incorporates data engineering patterns through its RAG pipeline and knowledge base management.