🔴🟡 TheStarkProject

"Sometimes you gotta run before you can walk."

TheStarkProject is an open-source initiative to build a real-world suite of tools inspired by the kind of technology a genius billionaire engineer might use to design suits, manage a workshop, automate a lab, and keep an eye on everything from a HUD. It's a playground for combining AI assistants, robotics control, IoT, computer vision, and voice interfaces into one cohesive "operator toolkit" — built for makers, hobbyist roboticists, and hardware hackers.

This project is a fan-inspired, original engineering effort. It is not affiliated with, endorsed by, or associated with Marvel, Disney, or any rights holder. All code, names, and designs here are original works created by the community.

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📖 Table of Contents

• Vision
• Core Modules
• Architecture Overview
• Roadmap
• Getting Started
• Contributing
• License

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🎯 Vision

The goal is to prototype, document, and open-source a modular set of tools that together form a practical workshop operator platform — something that can:

• Talk to you and help you code, debug, and design
• Monitor and control robotics hardware (arms, drones, exosuits)
• Visualize telemetry and diagnostics on a heads-up style dashboard
• Automate repetitive workshop/lab tasks
• Assist with reconnaissance-style research (OSINT, documentation, data aggregation) — strictly for defensive/educational security research, never offensive hacking tools

Everything is designed to be modular — pick and choose the components relevant to your own robotics or automation project.

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🧩 Core Modules

Module	Codename	Description
Conversational AI Assistant	FRIDAY-CORE	LLM-powered voice/text assistant for coding help, task management, and workshop Q&A
HUD Dashboard	HEADS-UP	Web-based real-time dashboard (React) for telemetry, system status, and alerts
Robotics Control Layer	ARM-CTRL	ROS2-based control interface for robotic arms and actuators
Exosuit Telemetry	EXO-TELEM	Sensor fusion layer (IMU, force sensors, battery) for wearable prototypes
Drone Swarm Coordinator	SWARM-OPS	Multi-drone coordination and mission planning (simulation-first, via Gazebo/AirSim)
Power Management Sim	ARC-SIM	Simulated power-core management dashboard (visualization + load-balancing logic)
Workshop Automation	BENCH-BOT	Home-lab automation (3D printers, CNC, soldering stations) via IoT triggers
Voice Interface	VOX	Wake-word + speech-to-text/text-to-speech pipeline for hands-free control
Security Research Toolkit	SENTRY	Defensive-only network monitoring & vulnerability scanning dashboard for your own lab network

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🏗 Architecture Overview

┌─────────────────────────────────────────────┐
│                 HEADS-UP (UI)               │
│        React + WebSocket + 3D overlays      │
└───────────────────┬─────────────────────────┘
                    │
┌───────────────────▼───────────────────────────┐
│              FRIDAY-CORE (Brain)              │
│   LLM orchestration · task routing · memory   │
└───────────────────┬───────────────────────────┘
                    │
     ┌──────────────┼────────────────┐
     ▼               ▼                ▼
 ARM-CTRL        SWARM-OPS         BENCH-BOT
 (ROS2)          (drone sim)       (IoT/MQTT)
     │               │                │
     ▼               ▼                ▼
 EXO-TELEM       ARC-SIM           SENTRY
 (sensors)       (power sim)      (network mon.)

All modules communicate over a shared MQTT/WebSocket event bus, so you can run just one module standalone or the full stack together.

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🗺 Roadmap

Phase 0 — Foundations (current)

• Repo structure & monorepo tooling (Turborepo/Nx)
• Base README & contribution guidelines
• Initial Friday Core LLM scaffolding and module structure
• Early pre-LLM Friday CLI with task orchestration and conversational responses
• CI/CD pipeline foundation (service discovery, lint/test/build workflow)
• Container and Kubernetes deployment scaffolding for the multi-service stack
• Core event-bus spec (MQTT topics, message schemas)

Phase 1 — The Brain (FRIDAY-CORE)

• Early CLI implementation for a Friday-like assistant
• Modular LLM workspace structure for model interfaces, inference, and agent/tool routing
• Structured conversational layer for greetings and context-aware responses before full model training
• Windows-friendly local command support for file lookup, file reading, time checks, weather lookup, and command execution in the pre-LLM CLI
• Real backend model integration (e.g. local transformer or hosted model)
• Long-term memory store (vector DB) for project context
• Plugin system so new modules can register capabilities
• CLI + chat UI clients

Phase 2 — The HUD (HEADS-UP)

• Real-time telemetry dashboard (React + Three.js overlays)
• Alerting system (visual + audio cues)
• Customizable widget layout
• Mobile companion view

Phase 3 — Robotics Control (ARM-CTRL, EXO-TELEM)

• ROS2 bridge for arm/actuator control
• Inverse kinematics playground
• Sensor fusion pipeline (IMU + force sensors)
• Safety interlocks & emergency-stop protocol

Phase 4 — Swarm & Power Simulation (SWARM-OPS, ARC-SIM)

• Multi-agent drone simulation (Gazebo/AirSim)
• Mission planning UI (waypoints, formations)
• Simulated power-core load balancing visualizer
• Battery/thermal management models

Phase 5 — Workshop Automation (BENCH-BOT)

• 3D printer/CNC job queue integration (OctoPrint API)
• IoT sensor triggers (temperature, motion, power)
• Voice-triggered workshop macros

Phase 6 — Voice & Defensive Security (VOX, SENTRY)

• Wake-word detection + STT/TTS pipeline
• Hands-free command routing to FRIDAY-CORE
• Home-lab network monitoring dashboard (defensive only)
• Vulnerability scan reports for your own devices

Phase 7 — Integration & Polish

• Full-stack demo (all modules running together)
• Docker Compose / Helm charts for easy deployment
• Documentation site (Docusaurus)
• Community showcase gallery

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🚀 Getting Started

git clone https://github.com/yourusername/TheStarkProject.git
cd TheStarkProject
pnpm install
pnpm dev

Friday Core CLI preview

You can now run the Friday CLI locally:

python modules/friday-core/src/llm/cli/pre_llm_cli.py

It currently supports:

• greeting and small-talk responses
• task queueing and execution
• OS-aware admin guidance
• a Friday-style ASCII intro
• a structured conversational layer that can grow before full model training

CI/CD and deployment foundation

The repository now includes:

• a GitHub Actions workflow that discovers services and runs lint/test/build steps across the monorepo
• a stricter service-discovery filter so empty scaffold modules no longer appear in CI/CD jobs
• release automation scaffolding for container images
• a Docker Compose stack for local orchestration of the core services
• a Helm chart foundation for Kubernetes-based scaling
• per-module dependency files so each service can be installed and tested independently

To install the module dependencies for local development, run:

python scripts/dev/setup_modules.py

To verify the Python-based modules after installation, run:

python -m pytest modules/friday-core/tests -q

Detailed per-module setup instructions will live in each module's own README.md under /modules/<module-name>/.

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🤝 Contributing

Contributions are very welcome — whether it's code, documentation, hardware designs, or ideas.

1. Fork the repo
2. Create a feature branch (git checkout -b feature/arm-ctrl-ik)
3. Commit your changes
4. Open a Pull Request

Please see CONTRIBUTING.md for coding standards and module conventions.

Note on security tooling: Any contributions to SENTRY must remain strictly defensive (monitoring, scanning your own systems). PRs adding offensive/exploit tooling will not be accepted.

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📜 License

This project is released under the MIT License — see LICENSE for details.

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Built by makers, for makers. Not affiliated with Marvel or Disney — just inspired by the idea of building really cool things in a garage.