Naruto Jutsu YOLOv8

Asia Pacific University of Technology & Innovation (APU), Jalan Teknologi 5, Kuala Lumpur, 57000

GDG on Campus Asia Pacific University of Technology & Innovation - Kuala Lumpur, Malaysia

Naruto Jutsu YOLOv8 - From Hand Signs to Jutsu, Create a Fun AI Vision App!Presented by Google Developer Groups on Campu...

Apr 17, 8:00 – 11:00 AM (UTC)

109 RSVP'd

Key Themes

Workshop / hands-on session

About this event

Naruto Jutsu YOLOv8 - From Hand Signs to Jutsu, Create a Fun AI Vision App!

Presented by Google Developer Groups on Campus - Asia Pacific University Chapter

📅 Event Details

Date: Friday, 17 April 2026

Time: 4:00 PM - 7:00 PM (MYT)

Venue: S-08-02 Classroom* (APU Campus) + Online via Bevy

Format: Hybrid (In-person & Online via Bevy)

Duration: 3 Hours

Department: AI Department

Workshop Lead: Marcus Chan Renzhi


🎯 About This Workshop

Curious about how computer vision and deep learning can be used to build fun, interactive applications? Join us for this beginner-friendly workshop, designed to introduce participants to the fundamentals of computer vision and deep learning through a hands-on project using YOLOv8.

In this workshop, participants will build a real-time computer vision application capable of detecting specific hand signs from the Naruto universe. By using tools such as OpenCV, NumPy, and a pre-trained YOLOv8 model, the application will recognize predefined hand sign combinations and trigger the activation of a corresponding Jutsu. Along the way, participants will also be introduced to the basic workflow of model training through a short demonstration on Google Colab, helping them understand how custom detection models can be trained for their own future projects.

This session is designed to focus on giving participants a practical and accessible introduction to machine learning, convolutional neural networks (CNNs), and computer vision rather than overwhelming them with heavy theory. The goal is to make the topic approachable, engaging, and enjoyable for beginners, while encouraging them to further explore how AI technologies can be applied to create interactive real-world applications.

👥 Who Should Attend?

This workshop is perfect for:

  • Students and beginners in AI/ML who want practical exposure

  • Developers with a basic understanding of Python who want to build a fun and interactive application using YOLOv8

  • AI enthusiasts interested in computer vision, machine learning, and model training

  • Anyone curious about how AI can be used to create engaging real-time applications

    Prerequisites:

  • Basic Python programming knowledge

  • Basic understanding of computer vision

  • Basic understanding of Git version control

📚 What You’ll Learn

By the end of this workshop, you will:

✅ Develop the ability to train your own models using Google Colab

✅ Gain an understanding of how computer vision and YOLOv8 work

✅ Learn how hand tracking functions using MediaPipe

✅ Build a fun jutsu-activation application

⏱️ Workshop Agenda

4:00 PM - 4:05 PM | Welcome and Introduction

  • Objectives of the workshop

  • Brief introduction to YOLOv8

4:05 PM - 4:10 PM | System Demo

  • Brief system demo to show participants the expected outcome

4:10 PM - 4:20 PM | Introduction to Roboflow

  • Introduction to Roboflow

  • Getting the Naruto hand signs dataset

4:20 PM - 4:35 PM | ML Training with Google Colab

  • Introduction to Google Colab

  • Setting up code for YOLO model training

  • Train the model for approximately 3–5 epochs

4:35 PM - 5:20 PM | Application Development Part 1

  • Start developing the application

  • Clone the empty project directory from the GitHub repository

  • Use Notion documentation to copy and paste larger UI code sections

5:20 PM - 5:25 PM | Break

  • Short break

5:25 PM - 6:10 PM | Application Development Part 2

  • Continue and complete the application development

  • Participants should have a fully functioning application by the end of the session

6:10 PM - 6:30 PM | Tournament / System Demo

  • Short and fun tournament to see which participants can activate the most Jutsu within the time limit

  • Winner receives a small prize, subject to availability

6:30 PM - 7:00 PM | Q&A + Networking

  • Participants can ask questions through an anonymous question platform

  • Participants can also complete a survey form and share what they would like to learn in the future

🛠️ Tools & Platforms

  • Google Colab (T4 GPU)

  • YOLOv8

  • Google’s Mediapipe

💡 Why This Workshop?

AI and computer vision can feel intimidating at first, especially for beginners who are new to machine learning and real-time application development. This workshop is designed to make those concepts more approachable and exciting through a fun, hands-on project based on Naruto hand signs and Jutsu activation.

Instead of focusing too much on theory, this session allows participants to experience how tools like YOLOv8, MediaPipe, and Google Colab can be used to build an interactive AI application in practice. The goal is to spark curiosity, build confidence, and show that learning AI can be both accessible and enjoyable.

💬 Join The WhatsApp Group!

https://chat.whatsapp.com/IugX71xGMEzCPyB7dbVGzp?mode=gi_t

📧 Any Questions?

Connect with us through our social media channels and send us a message!

Organizers

  • Eric Hendryani

    Lead Organizer

  • Phillip Christian

    Co-Lead Organizer

  • Xin Ying Lim

    Secretary

  • Florence Ku

    Asia Pacific University

    Creative Marketing Lead

  • Ivy Low

    Creative Marketing

  • Jim Ang

    Asia Pacific University (APU)

    Public Relations

  • Samantha Ker Xin Tee

    Asia Pacific University of Technology & Innovation (APU) University in Kuala Lumpur

    AI Lead

  • Cindy Pua

    Web Development Lead

  • Kok Jia Yin

    Web Development Co-Lead

  • Low Ze Xuan

    Cybersecurity Co-Lead

  • Marcus Chan Renzhi

    AI Co-Lead

  • Mervin Ooi

    Web Development Trainee

  • Kai Jack Chin

    Web Development Trainee

  • Jun Jie Jason Teo

    AI Trainee

  • Priscilla Ng

    AI Trainee

  • charlotte chen

    Cloud Trainee

  • Tong Yi Xin

    Asia Pacific University

    Cybersecurity Trainee

  • kayden ku

    Asia Pasific University

    Cybersecurity Trainee

  • Darlene Rei Kurniadi

    Public Relations