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
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
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
Fuel Consumption Prediction App
Taking into account multiple factors such as distance, speed, temperatures inside and outside, AC, and other weather conditions to predict the consumption of different types of fuels during drives.
tinyML keras environment energy power
Abalone Age Prediction App
Abalone is a common name for sea snails. Determining their age is a detailed process. Their shell is cut through the cone, stained and the rings are counted using a microscope. Here, we use measurements such as length, height, weight and other features to predict their age.
tinyML keras Sensors environment sea