Intro GSoC: Gaskarov Airat

Discussion in 'Contributor Introductions' started by Barricadenick, Mar 20, 2017 at 1:47 PM.

  1. Barricadenick

    Barricadenick New Member

    • Name: Airat Gaskarov
    • Social: GitHub : https://github.com/Barricade GMail : 777grand@gmail.com
    • From: I am from Russia and currently studying at the first year of Higher School of Economics(Software Engineering).
    • Skills / Tools: Primarily C++ (6 years), Java, Javascript, HTML/CSS, OpenGL, Box2D, Libgdx, Machine Learning
    • Found via: GSoC
    • Interests: I'm crazy about game development, also I'm doing some sports.
    • Extra: I want to get a new experience and improve my coding skills, communicating with experienced developers
  2. Skaldarnar

    Skaldarnar Badges badges badges badges mushroom mushroom! Staff Member

    Hi Airat and welcome!

    I've seen you already forked the project on GitHub. Did you manage to get it running from source as well? If you have questions, just hop on the IRC chat and you'll likely find somebody who can help you if you run into problems.

    If you want to get into GSOC with us this year you should read through the task list and figure out what interests you the most. Is there anything particular you'd like to work on?
  3. Barricadenick

    Barricadenick New Member

    Hello, Skaldarnar
    I noticed an interesting task in the list called "Noise-based generation of distinguishable terrain features". I had an experience with terrain generation for 2d case so that's why I'd like to try to solve this problem.
  4. Hybrid

    Hybrid New Member

    I figured I'd add my 2 cents here.
    @Barricadenick I hope you understand that working in 2d and working in 3d are quite different. You can get away with somewhat nonsenical things in 2d, but things need to make more sense in 3d.
    Do you have any first impressions on how to solve this? I considered trying this one, but I got nowhere and dropped it. My first impression was a generative adversarial network, but Terasology doesn't have a ML framework yet, and implementing one would be far beyond GSoC scope.

    Also, hurry. GSoC applications are already open, and you need to design your solution and convince the team about it.

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