Interested in AI, healthcare, or real-world machine learning applications? Join us for an exciting hands-on workshop where you’ll build an AI-powered ECG analysis pipeline using Google’s Gemini API and real clinical heartbeat data from Kaggle!

🫀 What You’ll Build
Participants will create an AI-assisted biosignal analysis tool in Google Colab using Python, signal processing, and the Gemini API. You’ll work with real ECG heartbeat datasets, extract clinical features, and generate AI-powered interpretations similar to modern cardiac AI systems.

📅 Date: 23rd May
⏰ Duration: 60 Minutes
💻 Platform: Google Colab

✨ What You’ll Learn
• Understand ECG signal structures including PQRST waves and QRS complexes
• Load and process real clinical datasets using pandas and numpy
• Apply signal processing techniques using scipy.signal
• Extract features such as R-peak amplitude, QRS width, rise time, and signal energy
• Use the Gemini API as an AI reasoning layer on structured medical data
• Explore how this mirrors real FDA-cleared AI tools like Apple Watch AFib detection

🛠 Technologies & Libraries
google-generativeai • pandas • numpy • matplotlib • scipy.signal

👥 Who Can Attend?
This workshop is beginner-friendly and open to all students regardless of major. No biomedical background is required. Basic Python familiarity is helpful but not necessary — all code will be pre-written and explained step-by-step.

📌 Requirements
• Google Account
• Google Colab
• Gemini API Key
• Google Cloud Credit ($5)

📖 Dataset Used
Kaggle ECG Heartbeat Categorization Dataset

Whether you're interested in AI, biomedical engineering, data science, or simply curious about how intelligent healthcare systems work, this workshop is a great opportunity to explore applied AI through a real-world project.

See you there! 🚀