Forest Fire Detection App
Wildfires are an important phenomenon on a global scale, as they are responsible for large amounts of economic and environmental damage. These effects are being exacerbated by the influence of climate change. It is important to detect fire and warn the people in charge. So we will create a Fire Detection App with deep learning.
vision tinyML keras CNN Sensors
Malaria Parasite Detection App
Malaria is a life-threatening disease caused by parasites that are transmitted to people through the bites of infected female Anopheles mosquitoes. This notebook uses Convolutional Neural Networks to predict if a thin blood smear is parasitic or uninfected in nature.
tinyML keras CNN Sensors disease
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
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
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 Sensors fashion
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
Gesture Recognition App Using Muscle Activity
Electromyography is a technique for recording and evaluating electrical acitvity produced in the skeletal muscles. The readings from the muscle activity sensor is then fed to a model that can be trained on gestures, and can be used in various applications like prosthetic arms, game control etc.
tinyML keras Sensors health Electromyography