A public coursework-linked project archive on applying AI foundations and AI-assisted development to build and operate Notion2Blogger.

Overview

• Course: Principles of Artificial Intelligence [ECL3013]
• Semester: Fall 2025
• Department: Electrical Engineering, Hanyang University
• Project type: Individual coursework-linked portfolio
• Focus: machine learning, deep learning, practical labs, vibe coding, and workflow automation
• Main tools: Next.js, TypeScript, Python, Vercel, Supabase, Figma

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This page documents work that continued from the course rather than a single submitted class project. It connects formal AI study with the deployed Notion2Blogger service.

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Course Scope

The course introduced artificial-intelligence concepts and principles through machine-learning methods, including regression, classification, clustering, neural networks, CNNs, RNNs, Transformers, and recent generative-AI trends. Practical labs and a dedicated vibe-coding unit connected the concepts with implementation.

Project — AI-assisted Productivity Tools & Micro-services

I apply AI-assisted development in later work to plan, implement, refine, and operate Notion2Blogger.

Notion2Blogger

Notion2Blogger converts Notion content into a Blogger-ready format, including formulas and code blocks. I built, deployed, and continue to operate the service with an AI-assisted development workflow.

What This Project Demonstrates

• Applying machine-learning and deep-learning foundations to evaluate and use AI development tools responsibly
• Turning a workflow problem into a focused, deployed web service
• Using AI-assisted development for practical project problem solving while retaining ownership of the product definition and implementation decisions
• Operating Notion2Blogger after deployment and improving it as needs emerge