Board To Life

Teachers draw on the whiteboard every day: ramps and dominoes, food webs, triangles. But a drawing can't move, so the class never gets to test its prediction. Board to Life brings the drawing to life in under a minute: Bring in the board. Take a phone photo, use the webcam, export a page from a digital whiteboard, or type the setup in a sentence. Muse Spark (Meta Model API, muse-spark-1.3) reads it into a structured, validated scene: Physics: floors, ramps, balls, blocks, dominoes, walls, pulleys, levers, ropes, springs, carts, and masses written next to items ("5 kg"). Food webs: species and who eats whom. Geometry: points, lines and marked angles. Anything it doesn't understand is flagged rather than guessed. The teacher checks it. The reading is drawn over the photo with a confidence for each item. Unsure items and marks it didn't understand are highlighted, and the teacher can fix them. Nothing reaches the class until the teacher approves it. Muse Spark drafts the predict question from the outcome. The scene is simulated first. The model gets what happened and writes the question and explanation from it. Every item it cites is checked against the scene. The class predicts, then watches. Physics: Matter.js plays the drawing as real objects on a classroom table (wooden ramps, a cart with turning wheels, a passenger), pauses at the predict point, then reveals what happens. Food webs: play as a living habitat (grassland, kelp forest, pond, woodland) with three views: Place: illustrated animals whose crowds grow, shrink and leave as the population model runs. Chart: the board's own web. Time: the population graph. Geometry: the figure is redrawn in chalk on a chalkboard, and its angle facts are computed. The simulation decides the answers, not the model. The model reads and writes; physics, the population model and geometry determine what happens. It runs on a phone, a laptop, or a classroom touchscreen. Board mode enlarges every control for a 65–86" panel.