🌮 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

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