JBrown9124 / Analyze-This

Created a full-stack web application that parses strings for signs of mental illness. Results help provide support to the user. At the moment it detects signs of suicide, anger, and addiction. To analyze strings, I developed an algorithm that works with a large pool of words to find determinants of mental illness. Determinant words must be in a certain order to be flagged. Analysis results and Google Maps/Places API are used to find the nearest support facilities (rehab, support groups, etc.) and resources. The client was created with TypeScript React.js, the REST API with Python (Django), and data is stored in and queried from a Firestore (NoSQL) database. Deployed using Heroku.

Home Page:https://analyze-this1.herokuapp.com/

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Analyze-This

Created a full-stack web application that parses strings for signs of mental illness. Results help provide support to the user. At the moment it detects signs of suicide, anger, and addiction. To analyze strings, I developed an algorithm that works with a large pool of words to find determinants of mental illness. Determinant words must be in a certain order to be flagged. Analysis results and Google Maps/Places API are used to find the nearest support facilities (rehab, support groups, etc.) and resources. The client was created with TypeScript React.js, the REST API with Python (Django), and data is stored in and queried from a Firestore (NoSQL) database. Deployed using Heroku.

Available Scripts for Server

  1. Type pip install -r requirements.txt in your terminal then press then "enter" key. This will install the required packages for this application to run.

  2. The "mysite" outer-parent directory contains a python file called "manage.py" that starts the application. Access this outer-parent directory with your terminal. Then type the command python manage.py runserver and press the "enter" key. (In your terminal type cd mysite then press the "enter" key. Then type the command $ python manage.py runserver then press the "enter" key)

Run command: In your terminal type cd mysite then press the "enter" key. Then type the command python manage.py runserver then press the "enter" key

Install dependencies command: pip install -r requirements.txt

Language: Python(Django)

Database: Firestore

Available Scripts For Client

In the project directory, you can run:

npm install

Install all modules listed as dependencies in package.json.

npm start

Runs the app in the development mode.
Open http://localhost:3000 to view it in the browser.

The page will reload if you make edits.
You will also see any lint errors in the console.

npm test

Launches the test runner in the interactive watch mode.
See the section about running tests for more information.

npm run build

Builds the app for production to the build folder.
It correctly bundles React in production mode and optimizes the build for the best performance.

The build is minified and the filenames include the hashes.
Your app is ready to be deployed!

See the section about deployment for more information.

npm run eject

Note: this is a one-way operation. Once you eject, you can’t go back!

If you aren’t satisfied with the build tool and configuration choices, you can eject at any time. This command will remove the single build dependency from your project.

Instead, it will copy all the configuration files and the transitive dependencies (webpack, Babel, ESLint, etc) right into your project so you have full control over them. All of the commands except eject will still work, but they will point to the copied scripts so you can tweak them. At this point you’re on your own.

You don’t have to ever use eject. The curated feature set is suitable for small and middle deployments, and you shouldn’t feel obligated to use this feature. However we understand that this tool wouldn’t be useful if you couldn’t customize it when you are ready for it.

About

Created a full-stack web application that parses strings for signs of mental illness. Results help provide support to the user. At the moment it detects signs of suicide, anger, and addiction. To analyze strings, I developed an algorithm that works with a large pool of words to find determinants of mental illness. Determinant words must be in a certain order to be flagged. Analysis results and Google Maps/Places API are used to find the nearest support facilities (rehab, support groups, etc.) and resources. The client was created with TypeScript React.js, the REST API with Python (Django), and data is stored in and queried from a Firestore (NoSQL) database. Deployed using Heroku.

https://analyze-this1.herokuapp.com/


Languages

Language:TypeScript 65.4%Language:Python 30.4%Language:HTML 2.3%Language:CSS 1.1%Language:JavaScript 0.8%Language:Procfile 0.0%