Health Monitor

An app build to allow people to carry out preliminary health assessments at the comfort of their homes using their mobile/laptop.

👨‍🏭 Who are we?

This project was built by Rachit Gupta, Sakshi Rambhia, Rohan Rout and Yash Khare.

💻 What did we use?

The webapp has been built using ReactJS and styled with React Bootstrap and the mobile app is built with Flutter

🛠️ Setting up the Project

For setting up the webapp:

Clone the repository

git clone https://github.com/yashk2000/HealthMonitor.git

Move into the project root

cd HealthMonitor

Move into the frontend folder

cd website/frontend

Install the dependencies

npm install

Start the local server

npm start

Setting up the mobile app:

The mobile app is in progress, and is being built using flutter.

First enter the healthmonitor_mobile folder.

cd healthmonitor_mobile

To build it, you need to have Flutter installed. Refer to the official docs provided by Flutter over here and install it for your operating system.

Once you're done, you can open up the application in your preferred editor. The best way to go would be to use Android Studio, but you can use any other editor such as VS Code as well.

The next step would be to enter the application directory and run the following command to fetch the dependencies.

flutter pub get

If you're using Android Studio, you can directly use the green play button to install the app on your device or an emulator. Else, you need to run the following command:

flutter run

This will run the application either on a physical device you'll have connected to your system or on an emulator that has been set up.

🔧 The backend

The backend is deployed here: https://health-monitor-mlh.herokuapp.com/

The two endpoints:

/spo
/hr

Both require POST API calls and the json body should contain the base64 strings of the images attached to one after the another separated by a semicolon only

/spo returns the SpO2 value if the images contain fingers pointed at the camera. If not, or if the image isnt that clear it;'ll return "Finger not recognised"
/hr returns both heart rate and respiratory rate separated by a space (ex: (72,18)) the requirement for this is face in the image. If its not visible it'll return "Face no recognised".

This project is released under a free and open-source software license, Apache License 2.0 or later (LICENSE or https://www.apache.org/licenses/LICENSE-2.0). The documentation is also released under a free documentation license, namely the GFDL v1.3 license or later.

🖊️ Contributions

Unless you explicitly state otherwise, any contribution intentionally submitted for inclusion in the work by you, as defined in the Apache-2.0 license, shall be licensed as above, without any additional terms or conditions.

yashk2000/HealthMonitor