# 🌮 Jetson TacoStand: Modular ML Automation with Flavor


Welcome to the Jetson TacoStand—where machine learning meets modular automation, wrapped in crispy reproducibility and saucy branding.

## 🌯 Project Overview

This repo contains the scaffolding for a scalable ML pipeline running on Jetson Nano nodes. It integrates:

- 🧠 Jupyter notebooks for model training and experimentation
- 🐙 Gitea for version control and SSH-based repo management
- 🐳 Docker containers for reproducible environments
- 🔁 Automated retraining and deployment workflows
- 📊 Prometheus hooks (coming soon) for observability

## 🌮 Features

- Modular repo layout with clean separation of notebooks, configs, and scripts
- SSH key-based Git workflows for secure, seamless updates
- Dockerized HandBrake containers for media post-processing
- Integrated Sonarr/Radarr pipelines for automated transcoding
- ASCII branding and taco-themed README for maximum flavor

## 📁 Repo Structure

```bash
jetson-tacostand/
├── notebooks/           # Jupyter workflows
├── docker/              # Container configs
├── scripts/             # Automation scripts
├── branding/            # ASCII art, logos, README assets
├── .gitignore
├── README.md
└── LICENSE