: Just as clinical models use "fingerprints" to categorize information, this feature creates a digital fingerprint for real-world objects based on their angles, edge lengths, and symmetry. Gamified Challenges :
: Users can tap a captured "figura" to see how its area or perimeter changes if it were stretched or rotated, similar to interactive tutorials found in learning apps like FVRLibraries . que_figura
This feature uses and augmented reality (AR) to turn the user's environment into a geometry playground. Similar to how deep learning extracts features from complex data, "Figura Hunt" identifies geometric properties in everyday objects. : Just as clinical models use "fingerprints" to
: To assist with language learning or accessibility—mirroring historical efforts to bridge language gaps—the feature can announce the shape's name in multiple languages, such as Spanish and English. Similar to how deep learning extracts features from
: The app asks, "¡Encuentra un hexágono!" (Find a hexagon!). The user must explore their room to find an object that matches those mathematical features.
: Users point their camera at objects (like a rectangular door or a circular clock). The app overlays a wireframe over the object and identifies its geometric name (e.g., "Círculo," "Triángulo").