GSoC 2026 Proposal Draft - Idea 3: AI-based categorisation

GSoC GSoC Proposal Drafts
3

@angeladev333 Thank you for your proposal, it seems that this is going to the right direction! I think the proposal needs more clarity and maybe dive a bit deeper into the topic. Laurent made a good point about how you map your outputs into the actual API actions

I’d suggest creating a nice flow diagram, it’ll also help you to see potential flaws or improvements. This contributor made very good diagrams: GSoC 2026 Proposal Draft – Idea 2: AI-Generated note graphs – yugalkaushik

I have few questions:

  1. Can you explain more about the centroid-based classifier for notebooks?
  2. How are you planning to use KNN or centroid-based
  3. How do you semantically identify/categorize clusters? The proposal doesn’t seem to explain that
  4. I don’t think you should restrict yourself and not use LLMs or making this agentic - could be optional for users that have API keys to frontier models.

Last thing, don’t forget to create couple of PRs. As Laurent mentioned, this is something important.