🔬 Build Your First Real Medical AI Project

Train a Convolutional Neural Network from scratch and create a portfolio-ready deep learning project — no setup needed.

Want to break into AI in healthcare but don't know where to start?

This hands-on project walks you step-by-step through training a real Convolutional Neural Network (CNN) to detect melanoma in skin lesion images using PyTorch and Google Colab.
It's more than just a tutorial — it's a real, structured project designed to teach you practical skills and help you build something worth showing off.

🚀 What You'll Achieve

• Build your first complete computer vision project in medical imaging — great for portfolios or research.
• Create, train, and evaluate a real CNN model from scratch using PyTorch.
• Learn how to analyze misclassifications and improve your model.
• Apply real-world techniques in AI that go beyond basic tutorials.
• Walk away with a tangible project that shows off real-world deep learning skills.

📚 What You'll Learn

• How to load and explore a real medical imaging dataset.
• How to build and train a CNN from scratch using PyTorch.
• How to evaluate your model with accuracy and a confusion matrix.
• How to identify and understand misclassifications.
• How to improve your results using pro techniques (provided as bonus ideas!).

🧠 What's Included

• ✅ A fully documented .ipynb notebook, ready to run in Google Colab — no installation needed.
• ✅ A clean PDF version of the project.
• 🎁 BONUS: Next Project Checklist (PDF) with a list of real-world extensions and challenges.

🎯 This Is Perfect For:

• Students or professionals in bioinformatics, data science, or machine learning.
• Researchers interested in applying AI to biomedical problems.
• Developers looking for a high-impact, real-world project to showcase.
• Anyone tired of toy datasets and ready to build something meaningful.

💡 Requirements

• Basic Python knowledge.
• Some understanding of neural networks (or curiosity and drive to learn).
• No setup required — runs 100% in Google Colab.

🎓 Build a real AI project in a single day. Learn by doing. Impress with results.

👉 Projects like this are what get you noticed — by recruiters, mentors, and collaborators.