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WiCSE Shadow Journaling App with Sentiment Analysis

This is a Next.js project bootstrapped with create-next-app created by Michaela Isaacs and advised by Jason Kleinberg. This project was made for the University of Florida WiCSE Shadowing Program, specifically their partnership with Infotech.

A daily journaling application which automatically tracks your mood for you using natural language processing. Mobile-friendly with secure user authentication.

Presentation and Demo

Want to see what it's all about? Please see the presentation here, which includes a demo at the end!

Presentation and Demo

Execution

In the root project directory:

npm install
echo DB_USER = [username] > .env.local
echo DB_PASS = [password] >> .env.local
echo DB_NAME = [database name] >> .env.local
echo JWT_SECRET = [secret key] >> .env.local

where [username], [password], and [database name] are for your own personal MongoDB Atlas database, which has "users" and "journal_entries" collections, and [secret key] is any phrase to use for JWT encryption.

Run the development server:

npm run dev

Open http://localhost:3000 to see the result.

Relevant pages: /auth, /