Smart Health Monitoring System
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
Project Title
Smart Health Monitoring System
Project Area of Specialization
Project 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
Core Industry
Other Industries
Core Technology
Other Technologies
Sustainable Development Goals
Required Resources
| Item Name | Type | No. of Units | Per Unit Cost (in Rs) | Total (in Rs) |
|---|---|---|---|---|
| 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 |
| Total in (Rs) | 77000 |
If you need this project, please contact me on contact@adikhanofficial.com
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