tinyml-on-the-edge

IMU sensors on Arduino Nano 33 BLE Sense can be used in gesture recognition. Using machine learning, a model is trained using the data collected from the IMU sensors on Google Colaboratory. A tensorflow lite model is encoded in arduino header which a classifier sketch uses. They include; accelerometer , gyroscope and magnetometer.

nano-33-ble-sense

Collecting arduino nano 33 ble sense sensors data using arduino IDE

dam-water-level-system-with-thingspeak

this project, dam water level system measures the level of water fluctuations i a pond,dam reservoir,stores the data that is the range,using ultrasonic sensor,sends the data to the cloud for storing and livestreaming,this data is later used for trainning and machine learning.

machine-learning-algorithms

this are basic machine learning algorithms simulated on anaconda jupyter notebook or the colab research.please visit the data science africa website and download anaconda or log onto your collabresearch terminal and create a notebook