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Hospitalify.US

Now, you decide where the right treatment for you is!
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View Demo · Report Bug · Request Feature

Table of Contents
  1. About The Project
  2. Getting Started
  3. Usage
  4. Roadmap
  5. Contributing
  6. License
  7. Contact
  8. Acknowledgments

About The Project

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On the internet, we are able to discover evaluations and ratings of a variety of hospitals; however, this material is quite unstructured, and it is not possible to trust it because it is derived from open forum conversations. These reviews have a high propensity to be either biassed or fraudulent most of the time.

Here's why:

  • Phony physicians and hospitals frequently contribute to the creation of fake reviews.
  • These reviews have been produced in a fake manner.
  • A lot of people accept these reviews, which leads them to believe in phoney hospitals a lot of the time.

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Significance of the Project

  • We allow users to share their experiences from the hospitals and nursing homes using blockchain on top of Algorand's Smart Contract. This allows users to anonmously send in their feedback about a particular hospital by verifying their review with the help of a smart contract transaction.

  • We try to bring in a Web based platform for smooth user experience based aggregation of reviews and ratings of a particular hospital in such a manner that the user understands what experience he is going to receive.

  • We try to bring in features such as advanced data analysis, data visualization from the scraped data using various graphs and models.

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Built With

This section should list any major frameworks/libraries used to bootstrap your project. Leave any add-ons/plugins for the acknowledgements section. Here are a few examples.

  • Next
  • React
  • Vue
  • Angular
  • Svelte
  • Bootstrap
  • JQuery
  • JQuery

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Our Team

Member Role
Arhit Bose Tagore Team Lead (Blockchain/ML/Backend Developer)
Aviral Jain ML/Backend Developer
Sanket Babar Designer
Shreyash Mehrotra Frontend Developer

Getting Started

Execute the following steps to run the web application on your local machine

Prerequisites

This is an example of how to list things you need to use the software and how to install them.

  • Python-3.9.x

For Linux Enviroment

$ sudo apt-get install python3.9

For Windows Enviroment

Download here

Installation

_Below are the steps to run the file

  1. Get a free Algorand Wallet Credentials Algorand Wallet Credentials
  2. Clone the repo
    git clone https://github.com/CaptAlpha/SDHRS.git
  3. Install the required packages
    pip install -r requirements.txt
  4. All API Keys (for Cohere, Algorand, Purestack) are already present in the code file.

⚠️ All API Keys are exposed and only meant for testing and prototype only.

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Usage

Navigate through the web interface to interact with the application.

For more examples, please refer to the Documentation Logo Logo Logo Logo

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Contributing

Contributions are what make the open source community such an amazing place to learn, inspire, and create. Any contributions you make are greatly appreciated.

If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag "enhancement". Don't forget to give the project a star! Thanks again!

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request

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License

Distributed under the MIT License. See LICENSE.txt for more information.

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Contact

Your Name - @BoseArhit - arhitbt@gmail.com

Project Link: Hospitalify.US

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Terms and Conditions

  • The user must swear to the fact that the review is genuine. The user must also agree to the fact that the review is not biased and is not a fake review.
  • A small transaction fee is charged to the user for the verification of the review. The transaction fee is charged to the user to prevent spamming of the system. The transaction fee is also charged to the user to prevent the system from being exploited by fake reviews. The fee would be refunded to the user if the review is found to be genuine with an incentive. However, if the review is found to be fake, the transaction fee would be forfeited. If proceeding with the review, the user must agree to the abovementioned terms.

Acknowledgments

Use this space to list resources you find helpful and would like to give credit to. I've included a few of my favorites to kick things off!

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