Skip to content

Ornipay/ubh-fall2024

Repository files navigation

UB Hacking Fall 2024


Logo

VitalCare: Remote Patient Monitoring System

Concerned about your health? Let us help you with that!

Test your heartbeat, temperature, and alcohol level at our website to get the quickest and most accurate result.


About The Project

screenshot

Not many users have the time or the convenience to go to the hospital to check if they have a serious medical condition, and some are clueless about how to check their health status. Luckily enough, VitalCare is here to help! With our newly developed in-built medical equipment from Arduino microcontroller, alcohol sensors, heartbeat monitor, and user-friendly website, our clients now can:

  • Monitor their heartbeat on the website
  • Check their alcohol condition directly on our in-built hardware
  • Get a record of their previous health status

Challenges we ran into

Connecting the sensor readings from Arduino into the framework Flask on Python.

Accomplishments that we're proud of

The general UI of the project and the authentication system and being able to detect accurate readings on the sensors.

What we learned

Connecting hardware with software is a lot more challenging than we thought. Generating the individual sensor readings turned out to be easier than we expected, but actually connecting the data from those sensors to a web application is a hard process that we are still figuring out.

Built With

Python Docker JavaScript HTML CSS

Getting Started

This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

Running the Website

  1. First, we clone the repository:
git clone https://github.com/Ornipay/ubh-fall2024.git
cd ubh-fall2024
  1. Next, we cd into the folder that we have cloned
  2. Finally, we type the following command in the terminal:
docker compose up --build --force-recreate

Running the Sensors

  1. Connect both the alcohol and the heart rate sensors to the Arduino
  2. Afterwards, connect the Arduino to the computer

What's next?

  • Adding a body temperature sensor to incorporate more vital checking to have more usability for the user.
  • Integrate live sensor data into the website.
  • Diagnose health conditions through Machine Learning and Pattern Recognition.

About

VitalsCare: Remote Patient Monitoring System

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Contributors 3

  •  
  •  
  •