DataTalksClub / DataTalksClub/datatalksclub.github.io

Build a Catalog of Open-Source Demos from Our YouTube Channel

Open
#91 0 comments 0 reactions 0 assignees View on GitHub

Nobody has claimed this yet.

AI Bootcamp Hackathon
Dominant language
Python
Stars
381
Forks
42
PR merge metrics
No merged PRs in 30d

Description

We have a growing collection of open-source demos on our YouTube channel. Right now, all of these demos exist only as videos, but we want to turn them into a structured, discoverable catalog on the website. This will make it easier for learners to find relevant demos and help us showcase open-source projects more effectively.

The goal of this task is to automatically extract information about these demos from YouTube, generate structured entries for each demo, and publish them on the website as a clean catalog page.

What needs to be built

The result should be a new catalog page on the website that displays all demos in a visually clean, searchable format.

The catalog should include:

  • the name of the tool/project demonstrated,
  • a description of what the demo covers,
  • the YouTube link,
  • optional resources (repo, docs),
  • area/task this tool could be used for
  • and a consistent layout across all entries.

Other feature ideas are welcome.

Potential flow
  1. Scan our YouTube channel for demo videos
  2. Extract metadata
  3. Produce structured files that match the website's format
  4. Generate a new catalog page where all demos are displayed
  5. Provide a simple mechanism to add new demos in the future

Contributor guide

No contributing guide indexed for this repository

First steps

  1. Read the whole issue, then the project's contributing guide.
  2. Comment on the issue to say you are picking it up — it saves two people doing the same work.
  3. Fork the repository and make your change on a branch.
  4. Open a pull request that references the issue number.

Research direction

Start by reviewing the website repository and the linked YouTube playlist to understand how demo metadata can be collected and represented. Define structured entries containing the project name, description, video link, optional resources, and area or task, then create a searchable catalog page and a repeatable way to add future demos.

Written by the indexing model from the issue text.

Assessment

Tech stack
jekyll, python
Domain
content, web-dev
Issue type
Feature
Difficulty
5/5
Estimated time
Over a week
Activity status
Stale
Clarity
Mostly clear
Newbie friendliness
35/100

Get new issues in your inbox

A short digest of beginner-friendly GitHub issues.