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This project forked from chetana16032002/medi-care

0.0 0.0 0.0 6.74 MB

Home Page: medi-care-phi.vercel.app

JavaScript 10.56% Python 3.37% CSS 13.65% HTML 2.13% Jupyter Notebook 70.28% Procfile 0.02%

medi-care's Introduction

⚕️ MediCare ⚕️

PRs Welcome GitHub pull requests GitHub issues

With the rise of people getting affected with Covid-19, we were looking into the data on the level of healthcare people all around India was receiving, one of the things we found that people in rural areas are clueless about the symptoms of the disease. They also lack proper medical supervision/care.

Hence, we came up with the idea of providing the people all over the world a web application that will not only connect the those in need with the correct medical care/supervision but also enable them to understand the implications of different diseases in a very intuitive way.

👩‍⚕️ What it does 👩‍⚕️

MediCare is a one stop location to discuss about different medical milestones, AI Disease prediction system, locate nearby hospitals to get proper medical care, and finally a translator to get the whole web app in the language one is comfortable with and hence dissolve any communication barrier. This solution with shorten the gap between the people around the world in search for good healthcare and pave a path in the journey of recovery.

💡 Demo 💡

➡️ The live demo can be checkout from here

➡️ The demo video of the project can be used here

💪🏻 How we built it 💪🏻

  • For frontend we have used React Js.
  • For Disease prediction we have used django.
  • For styling we have used CSS and Bootstrap.

🎖️ Accomplishments that we're proud of 🎖️

  • Available in multiple languages
  • Smart AI Disease Detection
  • Easy to use Calorie Calculator
  • Exercise tracking
  • Search for Doctors near you
  • Consume less time and work effectively
  • Custom Scroll bar

🎖️ Screenshots 🎖️

Home page home eng Disease Prediction disease pred Smart BMI Calculator calculate bmi bmi result Search for doctor select doctor Doctor booking booking detail Smart Chatbot chatbot

🏥 Dataset used 🏥

  1. Diabetes: Pima Indian Diabetes Dataset

  2. Heart: Heart Disease Dataset

  3. Kidney: Chronic Kidney Disease Dataset

  4. Breast Cancer: Winconsin Breast Cancer Dataset

Remote backend URL

(https://medicare-backend.herokuapp.com/)

🤔 Prerequisites 🤔

Required to install and run the software:

💣 Installing and Running 💣

From the project folder, run these commands in console (terminal) to install dependencies and run the app:

npm install
npm run start

🧑‍💻 How to contribute? 🧑‍💻

💥 How to Contribute

PRs Welcome Open Source Love

  • Take a look at the existing Issues or create a new issue!
  • Fork the Repo, create a branch for any issue that you are working on and commit your work.
  • Create a Pull Request (PR), which will be promptly reviewed and given suggestions for improvements by the community.
  • Add screenshots or screen captures to your Pull Request to help us understand the effects of the changes that are included in your commits.

⭐ HOW TO MAKE A PULL REQUEST:

1. Start by making a fork the medi-Care repository. Click on the symbol at the top right corner.

2. Clone your new fork of the repository:

git clone https://github.com/<your-github-username>/medi-Care

3. Set upstream command:

git remote add upstream https://github.com/mohit200008/medi-Care.git

4. Check the remotes for this repository.

git remote -v

5. Navigate to the new project directory:

cd medi-Care

6. Create a new branch:

git checkout -b <YourBranchName>

7. Sync your fork or local repository with the origin repository:

  • In your forked repository click on "Fetch upstream"
  • Click "Fetch and merge".

Alternatively, Git CLI way to Sync forked repository with origin repository:

git fetch upstream
git merge upstream/main

Github Docs for Syncing

8. Make your changes to the source code.

9. Stage your changes and commit:

git add .
git commit -m "<your_commit_message>"

10. Push your local commits to the remote repository:

git push origin <YourBranchName>

11. Create a Pull Request!

12. Congratulations! You've made your first contribution! 🙌🏼

Contributors:

The Wonderful People Who Contributed Here

All the best! 🥇

built with love

Keep smiling 😄

Happy coding 🥳

medi-care's People

Contributors

25-vidushi avatar aktamoli0910 avatar aniketpathak028 avatar anirban-1490 avatar artimanputra avatar aryasoni98 avatar ashsenior avatar boradesanket13 avatar codewithvin avatar harsh5902 avatar harshita214 avatar hazemessam avatar imgbotapp avatar kunal-umap avatar mandiraghosh783 avatar meet-kapadiya avatar mohit200008 avatar monarchgithub avatar nitishsaini706 avatar prabhkaur301 avatar qadirpervez avatar sachinmittal1766 avatar shobhit10058 avatar shweta2024 avatar siddiq-1018 avatar suyogkokaje avatar vinrusty avatar yourstruggle11 avatar zugzwang03 avatar

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