🚀 One of the Biggest Updates: Docker-Based Setup & Minimal Installation

The Edge-AI Home Monitoring System has just received its most significant infrastructure overhaul yet!

We have completely re-engineered the deployment workflow. Instead of dealing with manual environment configurations, matching Python versions, and tracking down dependency conflicts, the entire ecosystem can now be spun up instantly with a single command.

🐳 What’s New: Containerized Architecture

By migrating the platform to a fully containerized backend, we’ve moved away from fragile local setups closer to a production-grade deployment.

Key Improvements:

Isolated Environment: The Flask backend and all its core libraries run inside an isolated Docker container, completely immune to host-system configuration drifts.
Automated Dependency Management: All heavy-lifting dependencies are resolved and cached automatically inside the image.
State & Configuration Persistence: Your custom devices_config.json, automation rules, and local database models are securely mapped via Docker volumes, meaning they persist perfectly across container restarts and updates.
High Portability: Moving the hub from a development PC to a dedicated home server (like a Fedora Linux box or a Raspberry Pi) is now completely seamless.

⚡ Setup: Before vs. After

The difference in onboarding friction is night and day. Look at how the installation footprint has shrunk:

Old Manual Setup New Docker Workflow ❌ Install Python manually & match versions 📦 Pre-configured runtime environment ❌ Create virtual environments (venv) 📦 Isolated container filesystems ❌ Debug pip dependency conflicts 📦 One-time automated image build ❌ Manually set environment variables 📦 Declarative configuration via Compose ❌ Run background scripts step-by-step 📦 Single-command multi-service launch

The New Minimal Installation Path:

Now, launching your privacy-first smart home hub requires nothing more than standard container tools:

# Clone the repository
git clone https://github.com/travletothefurureprogramming/Edge-AI-Home-Monitoring-System

# Navigate to the project root
cd Edge-AI-Home-Monitoring-System

# Spin up the entire system in detached mode
docker compose up -d