Skip to content
View VVapples's full-sized avatar
👾
Chillin
👾
Chillin
  • Japan
  • 21:02 (UTC +09:00)

Organizations

@NAFT-LinkSpace

Block or report VVapples

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Content in all repositories owned by your account will be closed.
Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
VVapples/README.md

Hi there, I'm VVapple

Informatics student at Nagoya Univ. Software & hardware dev building rovers and rockets with NAFT. Exploring Data Science, AI & IoT.

What I'm Doing Now

  • Currently building: Planetary rovers and CanSats with team NAFT.
  • Currently learning: Global Consumer Intelligence and Object detection AI models.

Tools & Technologies

  • Languages:
    • Spoken
      • English (実用英語技能検定1級), Japanese (Native)
    • Programming
      • Advanced
        • Python, C++
      • Familiar
        • TypeScript, JavaScript, HTML, C, R
  • Hardware, IoT & Wireless
    • Robotics & Fabrication
      • Microcontrollers, Computer Hardwares, Sensors & Motors, 3D Printing
    • Wireless Communication Licenses
      • Amateur Radio Operator (US FCC Technician, Japan アマチュア無線技師4級)
  • Tools
    • Programming and Teamwork
      • Git, Github, Slack, VSCode, Google Antigravity
    • Electronics
      • Kicad
    • Hardware, 3D & Editing
      • Blender, Autodesk Fusion360, DaVinci Resolve

Featured Projects

  • Rover_Project_Science_Module: The complete science module system architecture for NAFT's 2025 URC planetary rover. (Standalone showcase extracted from the team's private repository).
  • ImageRecognitionTrainingPipeline: Pipeline to generate resources and train an image recognition model for NAFT's planetary rover. Deployed for an autonomous navigation mission.
  • Arukigenia_display: Developed an interactive touchscreen GUI for a CanSat payload competing in the Tanegashima Rocket Contest.

How to reach me

Pinned Loading

  1. ImageRecognitionTraningPipeline ImageRecognitionTraningPipeline Public

    Python

  2. Rover_Project_Science_Module Rover_Project_Science_Module Public

    C++

  3. Arukigenia_display Arukigenia_display Public

    C++