I Built a Python script that uses a local Ollama LLM to automatically find and add movies to Radarr.

It picks random films from your library, asks Ollama for similar suggestions based on theme and atmosphere, validates against OMDb, scores with plot embeddings, then adds the top results to Radarr automatically.

Examples:

  • Whiplash → La La Land, Birdman, All That Jazz
  • The Thing → In the Mouth of Madness, It Follows, The Descent
  • In Bruges → Seven Psychopaths, Dead Man’s Shoes

Features:

  • 100% local, no external AI API
  • –auto mode for daily cron/Task Scheduler
  • –genre “Horror” for themed movie nights
  • Persistent blacklist, configurable quality profile
  • Works on Windows, Linux, Mac

GitHub: https://github.com/nikodindon/radarr-movie-recommender

  • hendrik@palaver.p3x.de
    link
    fedilink
    English
    arrow-up
    1
    arrow-down
    1
    ·
    edit-2
    4 hours ago

    I don’t have a definite answer to it. Could be the case I’m somehow intelligent enough to remember all the quirks of C and C++. Eat a book on my favorite microcontroller in 3 days and remember details about the peripherals and processor. But somehow I’m too stupid to figure out how AI works. I can’t rule it out. At least I’ve tried.

    I still think microcontroller programming is way more fun than coding some big Node.JS application with a bazillion of dependencies.

    And I sometimes wish people would write an instant messenger like we have 4MB of RAM available and not eat up 1GB with their Electron app, which then also gets flagged by the maintainers for using some components that have open vulnerabilities, twice a year.

    I mean I don’t see any reason why I shouldn’t be allowed to complain about it.

    But yeah, software development is always changing. And sometimes I wonder if things are for the better or the worse.

    I’ve had a lot of bad experience with embedded stuff and trying to let AI do it for me. I mostly ended up wasting time. I always thought it must be because these LLMs are mainly trained on regular computer code, without these constraints and that’s why they always smuggle in silly mistakes. And while fixing one thing, they break a different thing. But could also be my stupidity.
    I’ve had a way better time letting it do webfrontends, CSS, JavaScript… even architecture.

    But I don’t think this (specifically) is one of the big issues with AI anyway. People are free to learn whatever they want. There’s a lot if niches in computer science. And diversity is a good thing.

    • hendrik@palaver.p3x.de
      link
      fedilink
      English
      arrow-up
      1
      arrow-down
      1
      ·
      edit-2
      1 hour ago

      Lol. For someone who says they expect other people to learn something, you’re a bit short in supply. I mean this would be an opportunity for someone (me) to lean something. But a down-vote won’t do it. And lessons on what not to do (discuss 2.5h, expect it to think) don’t lead anywhere either. I’d need to know what to do in my situation. Or where to find such information?!

      Or was it because I said I value efficiency and for some reason you’re team bloat? I seriously don’t get it.