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Achievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

Achievements

Achievement: YOLOAchievement: QuickdrawAchievement: Pull Shark

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Brainspark1/README.md

Hi there 👋, I'm Brainspark

About Me

  • I'm currently in high school
  • I love to play chess (it is a sport!)
  • I love to play badminton
  • I love to participate in math competitions
  • I am a violist and learning piano

My Skillset

  • Full-stack web development

    • HTML, CSS, basic Javascript
    • Learning Next.js, Express.js, Prisma schemas
    • Working on React
    • Deploying on Vercel, Github pages

  • App development

    • Swift, SwiftUI (iOS, macOS)
    • Dabbled in Android Studio Kotlin

  • Machine Learning

    • Scikit-Learn
    • PyTorch - custom nn.Module
    • Working on computer vision - YOLOv8

  • Languages

    • Learning Java at school
    • Semi-proficient Python in ML research
    • Intermediate HTML, CSS knowledge
    • Semi-proficient Swift

Projects I currently maintain

  • iTimer2 - all-in-one menu bar timing app for the Mac
  • SpeakUp - Python ML library designed to allow developers to integrate voice-controlled support into their applications and games (winner of UTD AI Competition 2026)
  • CL!MB - macro and fitness tracker web app (awarded Conrad Innovator Distinction 2026)

Projects I am working on

  • Brainspark Education - an educational crowd-sourced teaching platform founded on the Feynman Technique of teaching to learn better
  • CL!MB wirstband integration with the web app to allow for more accurate tracking (wristband in development by my peer)
  • FRC code for upcoming 2026-2027 season

⬇️ Check out my Github repositories below ⬇️

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  1. CLIMB CLIMB Public

    All-in-one fitness and macro tracker - Winner of Conrad Innovator Distinction 2026

    TypeScript

  2. speak_up speak_up Public

    Translating STT transcriptions into specific actions or targets - Winner of UTD AI Summer Competition 2026

    Python

  3. Saggarwal-2025/Accuracy-Latency-Modularity-in-Transformers-vs-Keyword-Extraction-NER-VUIs Saggarwal-2025/Accuracy-Latency-Modularity-in-Transformers-vs-Keyword-Extraction-NER-VUIs Public

    We compare the benefits of Transformers vs rule-based keyword extraction methods in named entity recognition for Voice-Controlled User Interfaces (VUI).

    Python

  4. iTimer2 iTimer2 Public

    An all-in-one menu bar timer app for the Mac

    Swift

  5. MDConverter MDConverter Public archive

    A lightweight, native macOS markdown to rich text and vice-versa converter application.

    Swift

  6. FRC-9289/2026v2 FRC-9289/2026v2 Public

    Java 3