An "AI portfolio" sounds like it requires a computer science degree. It doesn't. It requires evidence that you can identify a problem and use available tools to solve it.
Pick problems you actually have
The best student projects come from real annoyances: a tool that organizes your class schedule, a chatbot that answers common questions in your hostel group, a script that tracks assignment deadlines. Authenticity shows.
One deployed project beats five unfinished ones
A single project with a working link, a short write-up, and a GitHub repo (even a messy one) is worth more than five half-finished ideas sitting in folders.
Write the "why" as well as the "what"
Anyone can list what a project does. Explain why you built it that way, what didn't work first, and what you'd change — that's the part that shows real understanding.
Update it as you learn, don't start over
Your first project doesn't need to be your best. Come back and improve it as your skills grow — the improvement history is itself a portfolio piece.