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
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
Fish Breed Prediction App
Predicts the breed of the fish with CNN.
vision keras CNN Sensors classification
Elephant Detection App
With deep learning we can detect elephants in forests, and track them for keeping them, and nearby village safe.
vision keras CNN Sensors environment
Clothing Items Classifcation App
This notebook employs the use of neural network to classify different types of clothing items present in the Fashion MNIST Dataset. Tensorflow and Keras has been used to create the neural network for classifying the clothing images to their appropriate classes.
vision mnist keras CNN Sensors