Automatic enrichment

[nileshtrivedi]

Starting from nothing but a URL, we need tooling to automatically determine:

• Media type (format) such as: article, course, video, podcast, game etc
• Topics
• Creators
• Expert Reviews
• Related Items
• Description
• Quality Tags
• Image
• Year
• Identifiers (eg: ISBN etc)
• Rating

[nileshtrivedi]

Here is how it could work:

• Create a public API that takes a URL of a learning resource, and possibly OpenAI's API key
• Use GPT on the page contents to determine the above metadata. Media type and Topics are the only fields mandatory.
• Programmaticaly Create a commit to make this change in your fork
• Raise a pull request in this repository so that it can be reviewed, merged and deployed on learnawesome.org. Preventing spam and keeping a high quality bar is an important goal of this project. In any case, you can maintain your own database as you like.
• This API can then called by a form, a browser extension, a discord/slack bot etc.

This is a realistic approach till somebody invents a "Github for Datasets".

[Maria-Aidarus]

Hello, I am working on a university project and would like to try to solve this issue. Could you please assign it to me?

[nileshtrivedi]

@Maria-Aidarus Done. DM me if you'd like to get familiar with the codebase. Can give you a walkthrough.

[nileshtrivedi]

For potential contributors:

• This requires an API to be created on the server. To keep the infra minimal, we can implement this as a Netlify Function - which allows us to use all of NodeJS capabilities. Cloudflare Workers is another option but it's more complex as it is not a standard NodeJS environment.

• This will be implemented as an API that takes two parameters, a URL and an OpenAI API Key.

• First it obtains the contents of the webpage. This can be done by using web scraping services like ScrapeNinja or Browserless etc.

• These contents are simplified and sent to GPT for inferring two values: media type (for eg: whether the webpage represents a book or a video or a course etc) and topics.

• Another potential approach is to take a screenshot of the page and send to GPT4-Vision model.

• The format must be one of these: https://github.com/learn-awesome/learndb/blob/main/src/formats.js

• Topics can be one of these: https://github.com/learn-awesome/learndb/blob/main/db/topics.json

You can skip the other attributes for now. Just extracting these two attributes with high quality will be a good contribution.

There is some complexity involved in keeping the topic taxonomy clean. This may be achievable by some prompt engineering.

[rama0711]

Hello, I am working with Maria. Could you please assign it to me too?

[aishaalsubaie]

Hello, could you assign me this please!

[aboudbinabd]

Hi, I'm working with Maria too. Can you assign me to this? Thanks.

[hjoad]

Hello, can you please assign me as well?