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Connexion is a social media platform in its infancy. Users are matched based on personality type and common interests/hobbies.

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Connexion

Social media has done so much to bring people together, but it is missing an integral part that allows people to make meaningful, genuine connections. According to Myers Briggs, personality compatability is what lays the foundation for meaninful relationships. Connexion is a social media platform, in it's infancy, that matches users based on their personality type and ranks them by the hobbies they have in common. Unlike traditional social media platforms, users can only see other users that they have matched with. This does away with the issue of "friend collecting".


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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

Connexion-Screenshot

Connexion is a social media platform in it's infancy. Connexion matches users based on the Myers Briggs personality compatability model and ranks tham by common hobbies/interest. A user can only see and interact with users that they have matched with, doing away with the issue of "friend collecting" that we so often see on today's popular social media platforms. Connexion's aim is to give users the ability to make new and meaningful connections with people similar to themselves.

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Built With

  • LinkedIn
  • LinkedIn
  • LinkedIn
  • LinkedIn
  • LinkedIn
  • LinkedIn
  • LinkedIn
  • LinkedIn
  • LinkedIn
  • LinkedIn
  • LinkedIn

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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.

Setup

  1. Use an Amazon AWS account.
  2. Install AWS CLI. Documentation
  3. Install AWS SAM CLI. Documentation
  4. Install NodeJS to run the npm commands below.
  • For Windows / WSL users:
curl -fsSL https://deb.nodesource.com/setup_18.x | sudo -E bash - &&\
sudo apt-get install -y nodejs
  • For Mac users:
brew install node
  1. Install Docker

    Linux
    Mac
    Windows

Backend Setup via Lambda Service

  1. Build the Java code: sam build
  2. Create an S3 bucket: aws s3 mb s3://YOUR_BUCKET
  3. Deploy the SAM template: sam deploy --s3-bucket BUCKET_FROM_ABOVE --parameter-overrides S3Bucket=BUCKET_FROM_ABOVE FrontendDeployment=local

    NOTE: Yes you have to provide the same S3 bucket name twice. Yes this is annoying.

  4. Run the local API: sam local start-api --warm-containers LAZY

Frontend Setup

  1. CD into the web directory: cd web
  2. Install dependencies : npm install
  3. Run the local server: npm run run-local

After the steps above, you will have a server running on port 8000 - you can access it via http://localhost:8000 in your web browser.

Installation

  1. Clone the repo
    git clone https://github.com/Cyber-Scythe/DigitalNomad.git
  2. Install NPM packages
    npm install

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Usage

Use this space to show useful examples of how a project can be used. Additional screenshots, code examples and demos work well in this space. You may also link to more resources.

For more examples, please refer to the Documentation

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Roadmap

  • Feature 1
  • Feature 2
  • Feature 3
    • Nested Feature

See the open issues for a full list of proposed features (and known issues).

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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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Contact

Erika Smith: erikadaniellesmith@gmail.com
LinkedIn
GitHub

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About

Connexion is a social media platform in its infancy. Users are matched based on personality type and common interests/hobbies.

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