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Triplejw/README.md

๐Ÿ‘‹ Hey there, Iโ€™m Joshua JJ Wonder

๐ŸŽ“ Final-year ECE student | ๐Ÿ’ป Passionate Developer | ๐Ÿง  AI + Systems Enthusiast
I build things that bridge hardware-level logic with software magic, from C-based GTK apps to YOLO-powered AI systems.


๐Ÿš€ What I Worked On

  • ๐Ÿ”Š PulseMix โ€“ A desktop audio mixer & visualizer in C++ (GTK, PortAudio)
  • ๐Ÿงฎ Credit Calculator (Desktop) โ€“ Simple GTK-based credit calculator in C
  • ๐ŸŽฅ License Plate Detection โ€“ YOLOv7 + Roboflow + Ultralytics in action
  • ๐Ÿ“– Holy Bible App โ€“ Cross-platform mobile app built with Expo Go

๐Ÿ›  Tech Stack

C C++ Python TypeScript React Native Flask YOLO GTK


๐Ÿ“Œ Featured Projects


๐Ÿ“Š GitHub Stats

๐Ÿ“š Most Used Languages


๐Ÿ“ฌ Reach Out

  • ๐Ÿ”— LinkedIn
  • ๐Ÿ“ซ Email: wonderjj2017@gmail.com

โ€œStay curious. Stay building.โ€ โšก

Pinned Loading

  1. BibleApp-ExpoGo BibleApp-ExpoGo Public

    A cross-platform Holy Bible mobile app built with React Native and Expo Go, available for Android, iOS, and Web. Includes scripture navigation, responsive UI, and offline reading support.

    TypeScript

  2. PulseMix PulseMix Public

    PulseMix is a GTK-based desktop audio mixer and visualizer built using C++. It features stereo channel volume controls, wide soundstage adjustment, and a real-time waveform display powered by PortAโ€ฆ

    C++

  3. LicensePlate-Detection-YOLOv8 LicensePlate-Detection-YOLOv8 Public

    Real-time license plate detection using YOLOv8 and a custom Roboflow dataset.

    Jupyter Notebook

  4. credit-calculator-gtk credit-calculator-gtk Public

    GTK-based GUI tool to calculate academic credits

    C

  5. DeepSonic DeepSonic Public

    Forked from AllStars101-sudo/DeepSonic

    DeepSonic is a fully open source Deep Learning music experiment that is capable of synthesizing, generating, remixing, modifying music, all using the power of AI. Thanks to powerful open-source libโ€ฆ

    Jupyter Notebook

  6. image-caption-generator image-caption-generator Public

    Deep learning model for automatic image captioning using attention mechanism

    Python 1