In this Project a Remote Patient Monitoring System is built.
A device is built to measure a patient's heart rate, temperature and blood oxygen level.
This data is then sent to a web server where doctors and the patient themselves can view live statistics.
The device is built using an Arduino Nano or ESP32 with the MAX30102 sensor being used.
The website separates doctor and patient login and displays real-time data.
The website provides options for users to input critical health information and then analyses all the data using Machine Learning.
An email feature has been implemented for doctor - patient communication.
Jobs are scheduled to run the Machine Learning analysis daily and to remove any useless data.
The website is built using the Django framework.
An alert system has built to notify doctors of any emergency situation with the patient, through email and website notifications.
The Machine Learning model predicts the patient chance of diabetes and further health complications.