
An intelligent journal to review your emotional journey!
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This project proposes to build a digital journal application that uses natural language processing to perform a sentiment analysis on journal entries to provide users more insights on their mental health over time. The journal will be able to have many features that take this beyond a traditional journal, including analyzing the emotional tone of the user’s entries, identify patterns in the user’s emotions and experiences, and prompt users with questions to encourage deeper reflection.
These are the major frameworks/libraries used to bootstrap my project.
To get a local copy up and running follow these simple example steps.
This is an example of how to use the software and how to install it.
- npm
npm install npm@latest -g
Below is an example of how you can install and set up the app on your local machine.
- Clone the repo
git clone https://github.com/caowens/SentiJournalApp.git
- Install NPM packages
npm install
- Start the environment to make sure everything is running properly
npm start
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!
- Fork the Project
- Create your Feature Branch (
git checkout -b feature/AmazingFeature
) - Commit your Changes (
git commit -m 'Add some AmazingFeature'
) - Push to the Branch (
git push origin feature/AmazingFeature
) - Open a Pull Request
Alex Owens (Developer) - caowens256@gmail.com
SentiJournal email - sentijournalforall@gmail.com
Repo Link: https://github.com/caowens/SentiJournalApp
Project Link: https://sentijournal-fb-app.web.app/
These are resources I've found helpful and would like to give credit to.