Traditional qualifiers such as logistics and qualifications are not sufficient to represent teaching quality. Using the thin-slicing effect, students can find the right teachers for them by watching videos of teachers teaching their specialty.

For tutors:

1. Upload short educational videos to showcase your teaching ability.
2. Provide more information about yourself on your profile.
3. Potential students contact you to setup a lesson.

For students:

1. Browse through a catalog of videos to find a teacher that fits your vibe.
2. Check out their profile and reviews.
3. Chat with your potential educator to setup a lesson.

• Yarn
• Python 3
• pipenv

This project was produced under NUS Orbital (CP2106).

Level of Achievement: Apollo 11

Web Application: https://thinkslice.vercel.app/

Milestone 3: https://docs.google.com/document/d/12ZJZre344KpwpnLlnluU_pgUe5PbZxOR7vvVEONswkI/edit

User Guide: https://github.com/lawwm/thinkSlice-frontend/blob/main/UserGuide.md

Backend Github: https://github.com/lawwm/thinkSlice

Install dependencies as follows.

• Installing dependencies

cd appmanager
pipenv install

• Starting the server

pipenv shell
cd appmanager
python manage.py runserver

• Access the server on "http://localhost:8000"
• Closing the server

exit

• Installing dependencies

cd frontend
yarn install

• Starting the server

yarn start

• Access the server on "http://localhost:3000"

For the frontend, Jest is used for unit testing while Cypress is used for End-to-End tests. Jest files are found within "tests" files inside store folder, while cypress files are stored within "cypress/integration/thinkslice" directory. Mock service worker is used for mocking API calls for uniting testing (Jest).

For the backend, python is used for unit testing.

• Start Jest Runner

yarn test

• Start Jest code coverage

yarn run test -- --coverage --watchAll=false

• Start cypress runner

yarn run cypress open

• Start Python Code Coverage

coverage run manage.py test .  -v 2
coverage html

Note: You need a local PostgreSQL server for testing.

We used Vercel for frontend development and Heroku for backend development.

Create a pull request or push to main to create a vercel deployment. To configure the vercel deployment, edit the YAML files within the directory "github\workflows".

• Deploying to heroku

git push thinkSlice main

• Checking heroku logs

heroku logs --tail

Here are the important dependencies for this project.

PostgreSQL is the database for this project.

• Download the CLI psql/ GUI pgAdmin 4
• To access the tables in this project, prefix "public" to their respective table names.

SELECT * from public."userVideos_video"

Redis is used for the chat application as well as for caching.

• Starting a redis server

docker run -p 6379:6379 -d redis:5

• Use Docker Desktop to start/stop the server

Mux API is used for the videos.

• Access the python documentation here: https://github.com/muxinc/mux-python
• Access their dashboard here: https://dashboard.mux.com/login

• Access AWS console here: https://signin.aws.amazon.com/signin?redirect_uri=https%3A%2F%2Fconsole.aws.amazon.com%2Fconsole%2Fhome%3Ffromtb%3Dtrue%26hashArgs%3D%2523%26isauthcode%3Dtrue%26nc2%3Dh_ct%26src%3Dheader-signin%26state%3DhashArgsFromTB_us-east-1_3b278fbf8f6b11a6&client_id=arn%3Aaws%3Asignin%3A%3A%3Aconsole%2Fcanvas&forceMobileApp=0&code_challenge=LZCfu_tD8d8dReRATHvJ-zHvngU21ZaBLlsWkdVt7tM&code_challenge_method=SHA-256

• Access django-storages documentation here: https://django-storages.readthedocs.io/en/latest/ You can edit configuration within settings.py file.