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
Epileptic Seizure Recognition App
A sudden rush of electric activity in the brain is called a seizure. Epilepsy is a chronic neurological disorder causing involuntory, recurrent seizures. Deep learning can be used to detect and monitor seizures in patients and IoT provides an ease of integration with the existing health system and patient wearability.
tinyML keras Sensors EEG signal