What is copiloto-elite?

Copiloto Elite is a Spanish language voice assistant built for the space game Elite Dangerous. It listens to spoken commands, answers back with a natural sounding synthetic voice, watches the game's log files in real time to warn you about important events, and shows a visual dashboard in a web browser that also works from a phone on the same WiFi network. It does not modify the game itself. Instead it only reads the game's own log and status files, and it sends keyboard key presses to trigger in game actions when you ask it to, such as lowering landing gear or toggling lights. The assistant understands a wide range of spoken commands in Spanish, grouped into categories. There are navigation commands like asking what system you are in, whether it is dangerous, or asking it to plot a route to another system. There are ship and flight status commands covering fuel level and full flight reports. Trading commands can find the nearest station to buy or sell a given commodity, check local market prices, or search out a profitable buy and sell loop. Engineering commands can tell you what materials you still need for an upgrade blueprint, or how to unlock a particular engineer. There are commands for missions, bounties, fines, and career statistics, plus a general purpose question command that talks to an AI service using an API key you provide from Claude or the free option, Groq. Beyond commands you ask for, the assistant also gives automatic spoken warnings without being asked, such as hull damage, shields dropping, being interdicted by another ship, running low on oxygen while on foot, a cargo hold filling up, or a timed mission about to expire. To install it you need Python 3.10 or newer on Windows, then run pip install with the project's requirements file, which sets up the neural text to speech engine, voice recognition, and networking libraries. Optional extras include an offline voice recognition model called Vosk for a wake word, and a local Whisper model for more accurate offline speech recognition. Once installed, you start it by double clicking a batch file or running the main Python script, and the dashboard becomes available at localhost port 5000.