Heart Disease Prediction App
This project will focus on predicting heart disease using neural networks. Based on attributes such as blood pressure, cholestoral levels, heart rate, and other characteristic attributes, patients will be classified according to varying degrees of coronary artery disease. This project will utilize a dataset of 303 patients and distributed by the UCI Deep Learning Repository.
heart disease health heart rate
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
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
Covid-19 Detection App
We all are aware of the pandemic situation created by the outbreak of novel corona virus and the large of number of deaths it has caused worldwide. So, it is the need of the hour to develop a deep learning model which can help us identify covid patients.
audio keras Sensors spectogram medical
Insect Bite Identification App
There are a variety of insects around us that bite us. These bite effects can vary from itching to venom deposit. Deep learning helps identifying the type of insect, which is necessary to figure out the best possible way to treat it.
keras Sensors medical health insect