Thumbs Up News
Using Machine Learning to filter through RSS news feeds and returning only positive articles
Fix issue with tailwindcss and typography
Replace nextjs with gatsbyjs for frontend
Double check accessibility on all colours and tweak things to be fully accessible
Finish off mockup for the frontend design
Initial work on designing the frontend for
Add token based authentication
Add filtering to the api call
Add throttling to django backend
Add authentication to the API viewset
Add permissions to the django backend
Test post, get and delete methods from the api - working as expected
Test API with django shell and then postman to see if it works as expected
Create views, models and serializers to start off our api
Start build django backend for the project
Tie classifier and scrapper together - init classifier on each spider and then run classify method on each item
Finally fix import issue when trying to import folder on root directory and outside scrappy project
Try out different ways to incorporate the classifier with the scrapper to get the sentiment analysis straight upon scrapping
Run script to run all the scrapy spiders and check how many items we can get (around 600)
Change export encoding to utf-8 for right encoding in json when scrapper is run
Check each url and split url from mail rss scrapper to get the right categories and source
Update scrapper to include article's date
Add try/except to helper function to check if article is todays
Update scrapper settings to handle user agent errors
