AI Skill Showcase

Welcome! 👋

This repository is designed as a lightweight take-home assessment to help us get to know your skills with AI/ML, Python, and Git workflows.
It should take 1–2 hours and is meant to be fun and flexible.

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📌 Purpose

• Demonstrate basic familiarity with Python + Jupyter/Colab.
• Showcase ability to train or apply a simple model.
• Practice working with Git branches, commits, and merge requests.
• Give you room to add your own creativity.

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🛠️ Candidate Task

1. Fork or clone this repository.
2. Create a new branch named feature/<your-name>.
3. Add a Jupyter Notebook named <your_name>_showcase.ipynb that includes:
   • A short markdown intro about yourself.
   • Step 1: Generate or load two images (from data, synthetic, or AI model).
   • Step 2: Apply a transformation or train a simple model that produces different results.
   • Step 3: Display both original and transformed/predicted outcomes side-by-side.
   • Step 4: Document your approach with markdown cells.
4. Commit and push your branch.
5. Open a Merge Request (PR) into main and request review.

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✅ Evaluation Criteria

• Notebook runs end-to-end without errors.
• Code is clear, commented, and reproducible.
• Uses markdown to explain steps.
• Shows two distinct images/outcomes.
• Follows Git workflow (branch, commit, MR).
• You can use AI to generate code, but we expect you to understand what you're writing
• Shows your commitment and your technical skills (it is a team project after all)

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🚀 Example

We’ve provided example.ipynb as a Google Colab-friendly demo.
It trains a simple classifier and shows two separate predictions to illustrate the workflow.

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🔧 Setup

Install dependencies:

pip install -r requirements.txt