🤖 AI Attendance Tracking & Face Recognition with YOLO
Join Google Developer Groups (GDG) Asia Pacific University Chapter for an exciting hands-on workshop where you’ll explore the power of AI in building a real-world application: an AI-powered attendance tracking system using YOLOv8 and face recognition .

📅 Date: 24th March 2025

⏰ Time: 6:30 PM – 9:30 PM (MYT)
📍 Venue: APU Campus & Online (Bevy)
🎯 Audience: University students & AI enthusiasts (Beginner to Intermediate level)

What You’ll Learn

• Train a YOLOv8 model for human detection and face recognition.

• Build an interactive web app using Streamlit to deploy your AI model.

• Work with tools like OpenCV , PyTorch , and Roboflow for dataset preparation and model training.

• Gain practical experience in computer vision and deep learning .

Why Attend?

✅ Hands-On Experience: Train and deploy your own AI model from scratch.
✅ Real-World Application: Learn how AI can automate tasks like attendance tracking.
✅ Expand Your Skills: Get started with Python, machine learning, and Streamlit—no prior AI experience required!
✅ Take Home Resources: Workshop materials, code, and datasets provided for future reference.

Workshop Agenda Highlights

• Introduction to AI in Attendance Tracking: Explore the tech stack (YOLO, OpenCV, Streamlit).

• Dataset Preparation: Learn how to use Roboflow and Google Colab for data setup.

• Model Training: Train YOLO for person detection and face recognition (hands-on guidance provided).

• Deployment & Testing: Build and test your AI attendance tracker on Streamlit.

• Live Demo & Q&A: See your model in action and get answers to your questions.

Led By

Ling Siew Win (AI Department Lead, GDGoC-APU)
With support from the GDGoC AI team.

Who Should Join?

• University students curious about AI and machine learning.

• Beginners interested in computer vision and deep learning.

• AI enthusiasts eager to build real-world applications.

(Basic Python knowledge is recommended, but no prior AI experience is required!)

Important Notes

• Bring your laptop with Python installed. Workshop materials and dependencies will be shared during the session.

• Model training takes ~40 minutes—we’ll use this time to assist participants individually.

• Post-workshop resources will be shared for further learning.

Expected Outcomes

By the end of the workshop, you’ll:
✅ Understand how to train and deploy AI models for real-world use cases.
✅ Have a working AI attendance tracker that you can expand upon.
✅ Gain confidence in applying AI techniques to other projects.

🔗 Register Now

Stay tuned for registration links via GDGOC-APU socials!
📢 Spread the word: Tag us @gdgoc_apu on Instagram/LinkedIn.

Let’s make AI work for the real world—see you there! 🚀✨

Limited seats available—secure yours early!