Build & code your own voice assistant. Ages 11+ | No prior knowledge needed! Spencer is a DIY voice assistant who talks, lights up, connects to the internet, and understands simple voice commands. He also has a funny personality, tells jokes, and finds new ones online. Things Spencer can do as soon as you assemble him: Tell you the weather forecast for your area Tell you a joke Sing a song Set an alarm or reminder Show animations Make corny popular culture references Talk to Spencer! Spencer has a microphone and understands what you say (like, REALLY understands). You can code new functions that will be triggered when you say certain sentences and words. 144 flashy bling bling LEDs The LED display on Spencer’s face has a 144-pixel LED grid that can show data, custom icons, animations, and scrolling text You’ll learn about hardware Learn how to solder and assemble your very own personal voice assistant Learn about microcomputers & electronics Find out how an LED grid display works Learn about sound processing You’ll learn about software Learn how to code a microcomputer in C/C++ and CircuitBlocks Learn about the Internet of Things Learn about artificial intelligence and how to make Spencer smart Learn about voice recognition and speech synthesis Getting started with coding has never been easier You can code Spencer in CircuitBlocks – our custom-made code editor similar to Scratch that makes it easy for beginners to get into physical computing. Spencer has a build guide Learn how to assemble your very own voice assistant by following a detailed build guide What you’ll get in the Box: Spencer’s circuit board includes a pre-soldered 144-pixel LED grid The brain board – does smart stuff and includes a dual-core processor, a 16 MB flash memory chip, and power-management circuitry Acrylic casing – this protects Spencer’s innards from the outside world A big red button Bag of other small components such as resistors and pushbuttons Micro USB cable for powering your Spencer 5W Speaker Instruction booklet – ready for your offline knowledge consumption
