Smart Health Monitoring System

Project Title

Smart Health Monitoring System

Project Area of Specialization Software EngineeringProject Summary

The smart health monitoring system provides monitoring of health. Health plays an important role in a person's life. User can monitor their health  which will help them maintain proper health by getting an early detection of disease using machine learning, deep learning and IoT. Our system is detecting heart attack and Ulcer.

Project Objectives

The smart health monitoring system's major aim is to improve health and predict early detection of diseases following are the main objective of SHMS:

• Get monitoring of health(Temperature, Blood Pressure, Heart Rate, Sugar).
• Early detection of diseases(Heart Attack, Ulcer).
• Easy access from an android, web application, and iPhone.
• Training and testing of the model(Machine learning and Deep Learning).
• Store data in cloud storage.

Project Implementation Method

Smart health monitoring system is a self-contained product. User can monitor their health and the system will diagnose diseases. The system will be given data using sensors such as BP monitor, Blood glucose monitor, heart rate sensor, endoscopy camera etc by user. This input will be passed to a pre-trained model machine learning model for heart attack detection and deep learning model for Ulcer detection, that will predict and the outcome will be stored on a cloud storage. Then user can view his/her record on the website, android, iOS application. 

Benefits of the Project

In many undeveloped countries and developing countries, proper health care services are an important concern, also an increase in age led to the demand for monitoring and improving healthcare services. Using SMHS user can get:

• Early detection of dieseases
• User can maintain there health properly
• Get detection of diseases in less time

Technical Details of Final Deliverable

Final Deliverable will be:

• An android application developed using Android Studio.
• An iOS aapplication developed using swift in XCode.
• Website developed using ReactJs in WebStorm.
• Desktop application using java in IntelliJ.
• Arduino mega for getting record from sensor using Arduino IDE.
• Python for training, testing and predicting different Dieases and store Data on database.
• CloudCluster.io for MySQL database.

Final Deliverable of the Project HW/SW integrated systemCore Industry MedicalOther IndustriesCore Technology Artificial Intelligence(AI)Other Technologies Internet of Things (IoT)Sustainable Development Goals Good Health and Well-Being for PeopleRequired Resources

Item Name	Type	No. of Units	Per Unit Cost (in Rs)	Total (in Rs)
			Total in (Rs)	77000
Arduino Mega	Equipment	2	4000	8000
Endoscopy Camera	Equipment	1	10000	10000
BP Monitor	Equipment	2	5000	10000
Blood Glucose Monitor	Equipment	1	6000	6000
Sugar Strips	Equipment	50	100	5000
Cholesterol Strip	Equipment	45	300	13500
Heart Rate Sensor	Equipment	2	1000	2000
Arduino Camera	Equipment	3	1000	3000
I2C IC	Equipment	5	300	1500
Temperature Sensor	Equipment	1	3000	3000
ECG sensor	Equipment	1	7000	7000
Cloud Cluster Hosting	Miscellaneous	1	8000	8000