Welcome to the repository containing my practical activities, labs, and projects developed during the Programming for Artificial Intelligence course at SENAI.
This repository serves as a hands-on portfolio showcasing my progression, technical skills, and practical application of AI concepts throughout the curriculum.
In alignment with the spirit of an Artificial Intelligence course, this repository embraces a Copilot-Driven Development methodology.
Please note that:
- AI-Generated Foundations: The codebases, architectures, and problem-solving implementations found here were developed mostly with the assistance of Large Language Models (LLMs), specifically ChatGPT and Gemini.
- Prompt Engineering Focus: Rather than blindly copying code, the primary objective was to master the art of prompt engineering—learning how to frame technical problems, iteratively refine model outputs, debug edge cases, and understand the core logic generated by the AI.
- Human-in-the-Loop Validation: Every AI-generated script was tested, analyzed, and manually adjusted to comply with SENAI's academic requirements, coding standards, and project constraints.
- Core Languages: Python, HTML and CSS
- AI Tooling & LLMs: ChatGPT (OpenAI) & Gemini (Google) 🧠
- Environments: VS Code / Jupyter Notebooks 📓
- Version Control: Git & GitHub 💻
- Clone the repository:
git clone [https://github.com/Viola2365/AI-Programming.git](https://github.com/Viola2365/AI-Programming.git)