When AI Starts Scoring Photos Like a Real Teacher

When AI Starts Scoring Photos Like a Real Teacher

We’ve all seen AI critiques that feel half-baked. Vague descriptions. Generic advice. No visuals, no accountability. That ends now.

This isn’t a gimmick. It’s a real tool — built by a real photographer — that scores images like a seasoned photography teacher would. Goker-ish GPT doesn’t just comment on photos. It draws on them. It explains composition, balance, flow, light direction — and it does it with sharp, human-grade annotations.

The Mission Behind the Project

This isn’t just a technical test or a fun experiment. It’s a serious step in a longer creative path. A few days ago, I decided to launch a dedicated photography art project, and the features of Goker-ish GPT will help refine and support that vision. For context, I also hold an associate degree in photography — but this project goes beyond credentials.

Anyone serious about improving in photography knows how rare it is to get solid, actionable feedback. That’s where Goker-ish GPT comes in. It’s the AI photography teacher I wish existed years ago — one that critiques like a pro, draws like a professor, and doesn’t waste your time.

What Makes This Different

No vague advice. No fake polish. Just:

• 📸 Rule-of-thirds and composition guides
• ✍️ Hand-drawn style annotations — jittered lines, elliptical arcs, and all
• 🔍 Clarity on subject isolation, negative space, flow, light direction
• ✅ A clean score with category breakdowns, just like exam submissions
• 💬 Teacher-style comments, placed on the photo like real feedback

Watch the Demo (Unlisted YouTube)

In this video, Goker-ish GPT receives two real images and the prompt: score this. There’s no warm-up. No second chances. It delivers spot-on critiques — visually, precisely, and with confidence.

This is how AI should analyze images.

Watch the full scoring breakdown: 👉 Watch the demo on YouTube

Try It Yourself

Want to see how it handles your photos? Go to goker.me and start typing. The GPT isn’t listed — just begin with a prompt on the home screen.

If you want a photography teacher that draws on your photo and tells you exactly what’s working (and what isn’t), it’s waiting.

Building It Was No Joyride

Let’s be real: setting this up wasn’t smooth. At first, it was just a casual chat. I asked the GPT to annotate and score a photo. It took nearly 30 minutes to get a halfway decent result.

To make it actually useful, I had to rewrite the context and shape it into what is now the "Goker-ish" instruction layer. I won’t get into every detail, but the entire process took over four hours to fine-tune. Custom Python libraries were written from scratch to mimic how a photography teacher would annotate an image — from sketchy jittered lines to elliptical arcs.

Color-coded feedback is coming next. The foundations are built. The tool is ready.