Via MKR GSM 1400, collate water quality data from resources over GPRS to train a Neuton model, run the model, and transmit results via SMS.

Via Nano 33 BLE, collate local weather data, build and train a TensorFlow neural network model, and run the model to predict air quality.

Based on Arduino Nano RP2040 Connect, display the dust density (mg/m3) and the carbon dioxide (CO2) density (ppm) via a Telegram bot.

Detecting forest fires with a long-range autonomous airplane equipped with satellite communication.

Collate spectral color data of varying fruits and vegetables and interpret this data set with a neural network to predict ripening stages.

Collates local weather data on Google Sheets and interprets it with a neural network model built w/ TensorFlow to predict rainfall intensity

I was inspired by obstacle avoidance car's servo's motion, I thought that it's motion could be used as sonar's acutator !

How to make a LED Spirit Level using Arduino and MPU6050 | LED Spirit Level

We present you the radar we created in the MicroLab lab. This radar uses 2 ultrasonic sensors and 1 motor moving continuously 360 degrees.

My system rely on community data collection. Each user has a smog / air quality monitoring system and share collected data via Bluetooth.