You may access our deployed app using the following link: http://134.209.47.131

• Deployed to a Docker container
• Have a functioning Continuous Integration workflow, with an automation server
• Have a Continuous Deployment setup

Auditory Cheesecake is a mobile-first web application that allows music enthusiasts to understand their personality traits based on their music taste, which is analyzed using NYU psychology research metrics.

Auditory Cheesecake is primarily aimed for use by college students who are looking to gain insights about their personalities based on their music tastes. By taking our personality assessment, the user will answer a series of questions abou their song preferences and will be presented with their personality analysis at the end of the assessment. They will be able to engage with their profile and learn more about their assessment results, along with having the opportunity to share their profiles across different social media platforms.

• Sam Chen - samchensd on Github
• Francisco Cunningham - fctico11 on Github
• James Li - j4mesli on Github
• Suha Memon - suhamemon1 on Github
• Ibrahim Sheikh - Ibrahimsheikh02 on Github

Throughout history, psychologists and philosophers have debated the following question: does music shape society or does society shape its music?

There is no doubt that music has evolved over time. Therefore, we can say that it has evolved with our changing societies (ie: your parents often don't share the same taste in music as you). Plato and Aristotle argued that music shapes society and that bad music can be detrimental to mankind. However, contemporary psychologists, such as Steven Pinker, claim that music is like auditory cheesecake, in that it is biologically useless and manifests as the byproduct of other evolved phenomena.

There is more data that suggests that society shapes music, and our app is built on this fundamental idea. Our goal is to allow individuals to gain insights into their personalities by evaluating their unique music tastes. For this project, we will be developing algorithms to help us do just that and providing our users with an interactive and engaging user-facing tool to do so.

Our models of assessment that we are using to create our algorithms are based on research data that we have collected at the NYU Fox Lab. We hope that our understanding of how music impacts personalities can serve as a means to evaluate personalities of other individuals, thereby having tangible real-world applications.

For details on how to contribute, please navigate to CONTRIBUTING.md

In order to build and test this project, you will need to first get the code, build and launch teh database, build and launch the back-end, build and launch the front-end, and finally visit the web-app in your web browser.

1. Fork this repository
2. Clone your fork of this repository to your local machine
3. Navigate into the project directory

-Install and run docker desktop -Create a dockerhub account -Run command, docker run --name mongodb_dockerhub -p 27017:27017 -e MONGO_INITDB_ROOT_USERNAME=cheese1 -e MONGO_INITDB_ROOT_PASSWORD=AuditoryCheesecake -d mongo:latest - cheese1, password: AuditoryCheesecake - You now have a MongoDB database running on localhost port 27017, with an admin user account with password, password

• docker run --name mongodb_dockerhub -p 27017:27017 -e MONGO_INITDB_ROOT_USERNAME=admin -e MONGO_INITDB_ROOT_PASSWORD=secret -d mongo:latest You now have a MongoDB database running on localhost port 27017, with an admin user account with password, password

The back-end code will integrate with this database.

1. Navigate into the back-end directory
2. Run npm install to install all dependencies listed in the package.json file.
3. Run npm start to launch the back-end server

1. Navigate into the frontend directory
2. Run npm install to install all dependencies listed in the package.json file.
3. Run npm start to launch the React.js server

-Navigate your web browser to http://localhost:7002

This project is based on an NYU psychology research paper from the NYU Fox Lab: From Plato to Pinker: Measuring the Tastiness of Auditory Cheesecake. Please read the research paper if you wish to gain further insights on how our personality analysis algorithms operate.