Update M2Crypto by mcepl

There are couple of projects I work on, which need my attention and putting them to shape:

• M2Crypto

Goal for this Hackweek

• Put M2Crypto into better shape (most issues closed, all pull requests processed)
• More fun to learn jujutsu
• Play more with Gemini, how much it help (or not).
• Perhaps, also (just slightly related), help to fix vis to work with LuaJIT, particularly to make vis-lspc working.

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Improve chore and screen time doc generator script `wochenplaner` by gniebler

Description

I wrote a little Python script to generate PDF docs, which can be used to track daily chore completion and screen time usage for several people, with one page per person/week.

I named this script wochenplaner and have been using it for a few months now.

It needs some improvements and adjustments in how the screen time should be tracked and how chores are displayed.

Goals

• Fix chore field separation lines
• Change screen time tracking logic from "global" (week-long) to daily subtraction and weekly addition of remainders (more intuitive than current "weekly time budget method)
• Add logic to fill in chore fields/lines, ideally with pictures, falling back to text.

Resources

tbd (Gitlab repo)

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Improvements to osc (especially with regards to the Git workflow) by mcepl

Description

There is plenty of hacking on osc, where we could spent some fun time. I would like to see a solution for https://github.com/openSUSE/osc/issues/2006 (which is sufficiently non-serious, that it could be part of HackWeek project).

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Improve/rework household chore tracker `chorazon` by gniebler

Description

I wrote a household chore tracker named chorazon, which is meant to be deployed as a web application in the household's local network.

It features the ability to set up different (so far only weekly) schedules per task and per person, where tasks may span several days.

There are "tokens", which can be collected by users. Tasks can (and usually will) have rewards configured where they yield a certain amount of tokens. The idea is that they can later be redeemed for (surprise) gifts, but this is not implemented yet. (So right now one needs to edit the DB manually to subtract tokens when they're redeemed.)

Days are not rolled over automatically, to allow for task completion control.

We used it in my household for several months, with mixed success. There are many limitations in the system that would warrant a revisit.

It's written using the Pyramid Python framework with URL traversal, ZODB as the data store and Web Components for the frontend.

Goals

• Add admin screens for users, tasks and schedules
• Add models, pages etc. to allow redeeming tokens for gifts/surprises
• …?

Resources

tbd (Gitlab repo)

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Song Search with CLAP by gcolangiuli

Description

Contrastive Language-Audio Pretraining (CLAP) is an open-source library that enables the training of a neural network on both Audio and Text descriptions, making it possible to search for Audio using a Text input. Several pre-trained models for song search are already available on huggingface

Goals

Evaluate how CLAP can be used for song searching and determine which types of queries yield the best results by developing a Minimum Viable Product (MVP) in Python. Based on the results of this MVP, future steps could include:

• Music Tagging;
• Free text search;
• Integration with an LLM (for example, with MCP or the OpenAI API) for music suggestions based on your own library.

The code for this project will be entirely written using AI to better explore and demonstrate AI capabilities.

Resources

• CLAP: The main model being researched;
• huggingface: Pre-trained models for CLAP;
• Free Music Archive: Creative Commons songs that can be used for testing;
• Colab: To be used as the development environment;
• hw25-song-search: Github repo of the project.

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