Glass Quality Assessment App
The quality of a glass refers to its transparency, heat resistance, stability etc. It depends on many features such as thickness, composition, and many others. Here, we use deep neural networks to categorize glass samples based on its features.
tinyML keras Sensors quality glass
Rainfall Prediction App
With deep learning, this notebook can predict rainfall just by getting different environmental parameters. This can be used in devices which are offline and has to decide whether to perform an action based on whether it is going to rain or not.
tinyML keras Sensors farming agriculture
Ph Recognition App
Litmus paper is used to test acidity or basic nature of a given solution. Once dipped, it changes color. Red stands for acidic nature and blue stands for basic nature. Here we train a model to recognize the pH value based on RGB values of the color of the litmus paper.
tinyML keras Sensors chemistry litmus
Fuel Efficiency Prediction App
This notebook uses the classic Auto MPG Dataset and builds a model to predict the fuel efficiency of late-1970s and early 1980s automobiles. To do this, we'll provide the model with a description of many automobiles from that time period. This description includes attributes like: cylinders, displacement, horsepower, and weight.
keras Sensors environment energy power