Learn to build and program a Quarky Intellio Obstacle Avoider Robot using PictoBlox Python and OpenCV.
An experimental language model I trained from scratch, running offline on ESP32-S3 with a touchscreen chat interface.
WaterLens combines four water sensors, Arduino UNO Q and local Edge AI to recognize patterns and flag changes from a tap-water reference.
A sealed ±32 g edge-AI node plus the whole stack — firmware, OTA, cloud, API, dashboards. You build only what makes your product yours.
Develop a simple, low-cost AI-powered wearable with the XIAO nRF52840 Sense that detects hand gestures and controls real-world devices.
A compact ESP32 edge-AI and AR module powering a rover with audio, vision, and offline ML for hands-on robotics projects.
A compact four-legged walking robot powered by Quarky.
A camera-less, standalone gym wearable powered by STM32 & TinyML to correct workout form in real-time via smart haptic feedback.
Non-invasive TinyML acoustic sensor on nRF54LM20 detecting pipe micro-fractures before major leaks occur.
Learn how to assemble, program, and test the Quarky Intellio Lane Follower Robot using OpenCV in Python and PictoBlox.
Privacy-first, distributed edge-AI system built for manufacturers who can't afford to replace legacy machinery or send proprietary data
VitalSense: An EdgeAI smart stethoscope exploration on XIAO nRF52 with pre-trained Edge Impulse model for edge heart/lung anomaly detection.
A System with Arduino UNO Q and Edge Impulse that detects electronic components and announces them by voice for visual impairments people
A solar powered guardian that senses an elephant coming, then deters it safely with the same sounds nature already taught it to fear
Train with Edge Impulse, detect birds on a UNIHIKER K10, and save species counts with two buttons.
Real-time active load estimation on ESP32 using INT8 TFLite Micro with 121 µs latency and 772 B arena memory.
Will your TFLite Micro model fit? TensorScope checks RAM, flash, and compute cost against real, datasheet-cited MCU targets — offline.
An ESP32-powered Edge AI guardian that uses TinyML, sensors and automated protection to safeguard valuable assets.
