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# Day 5 of 7 Days of Teaching AI to See

**[Taz](https://daily.dev/sources/sye1wuv27hcjlpobmwwlb)** · [@lilmas_t](https://daily.dev/lilmas_t) · 1 min read · 0 upvotes · 0 comments

## Summary

A personal build log describes progress on 'Ver,' a hobby AI project that analyzes MRI scans. The system has moved beyond basic pattern identification to generating interpretive responses, explaining findings, and answering follow-up questions like an assistant for clinicians. The next step mentioned is deploying it beyond a local laptop setup into something people can interact with directly.

## Content

Well...

**Ver has started talking back.** 😂

A few days ago, it was just an MRI, some pixels, and me fighting Python.

Now Ver can do more than identify patterns.

It can **analyze what it sees, generate responses, and act as an AI assistant around the analysis.**

Think:

Analyze the scan

Identify suspicious regions

Interpret the segmentation

Explain the findings

Respond to follow-up questions

Assist clinicians with analysis

The goal isn't to replace the surgeon.

It's to give them another set of computational eyes that can process patterns consistently and help surface information worth investigating.

And now we're at the scary-exciting part:

**Ver is about to leave my laptop.**

Deployment is next.

From a few Python scripts and a very stubborn CPU...

to an actual AI system that people can interact with.

**Day 5/7.**

Ver can see.

Now we're teaching it how to help humans understand what it sees. 🌿👁️

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---

Tags: [#python](https://daily.dev/tags/python), [#computer-vision](https://daily.dev/tags/computer-vision)

[View this post on daily.dev](https://daily.dev/posts/day-5-of-7-days-of-teaching-ai-to-see-udq1xdrm8)

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