OBRI designs the hardware, curriculum and software that let a school teach AI, IoT and robotics as something students build — not something they read about.
A processing unit with camera, microphone, speaker and NFC/barcode/QR reader, plus ten plug-and-play sensor boxes over I²C. Students write Python on real peripherals from the first lesson. All inference runs on the device — no cloud.
Student, teacher and parent roles. AI-generated quizzes, flashcards and skill activities. Four-stage mastery tracking from Familiar to Advanced, with real-time analytics per student. The hardware teaches; Luugo is how one teacher keeps track of thirty students doing it at once.
A 90 cm humanoid robot for classrooms and front desks. Voice interaction through dual microphones and built-in speakers, a head and arms that rotate a full 360°, and a Python platform so students can program its questions, responses and movement routines.
Our active research track rebuilds the Smart AI Box architecture on the Jetson Orin Nano so the box can run small language models locally — CUDA and TensorRT accelerated, entirely offline. A student can prompt, fine-tune and break a real language model on hardware in front of them.