SUMMARY AI summary by gpt-5-mini
Repository of practical activities, labs, and projects produced for the "Programming for Artificial Intelligence" course at SENAI. It documents hands-on work, technical progression, and applied AI concepts as a student portfolio. Intended users: the course author, instructors, classmates, and external reviewers or employers evaluating skills and artifacts. Key features: - Collection of notebooks, scripts and small projects demonstrating AI programming exercises. - Copilot-driven development: primary workflow used LLMs (ChatGPT, Gemini) to generate scaffolding and solutions. - Emphasis on prompt engineering: iterative prompt design, refinement and debugging of model outputs. - Human-in-the-loop validation: AI-generated code was tested, inspected, and manually adjusted to meet academic and coding standards. - Technologies: Python, HTML/CSS, Jupyter/VS Code, Git/GitHub.
DETECTED Detected AI stack
AI-related keywords found in this repo's description, topics, or README summary — grouped by category. Each badge links to the corresponding ranking detail page.
Language breakdown (by bytes)
Why this is classified AI-related
The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology
Total AI relevance score: 75 / 100
Position among AI repos in the same language
We track 4,790 HTML repos, of which 2,996 score 40 or above on AI relevance. 546 have more stars than this one (top 11.4%), and 166 score higher (top 3.5%).
Owner
Dates
| Created on GitHub | 2026-05-16 |
| Last push | 2026-05-16 |
| First seen here | 2026-05-16 |
| Last fetched | 2026-09-28 16:18 |
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