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🧠 JARVIS

Job Acceleration Reference Visual Interface System

“Your personal Agentic workspace assistant.”

JARVIS is a hardware–software hybrid system designed to augment human productivity at the workstation.
Built on a Raspberry Pi 5 with a camera and projector, JARVIS combines AI vision, voice interaction, and workflow automation to create a truly intelligent, context-aware workbench assistant.


🚀 Overview

JARVIS transforms an ordinary workspace into a smart, interactive environment that helps engineers, makers, and creators accelerate their work.
Whether you’re prototyping hardware, writing firmware, or managing project workflows — JARVIS assists through visual guidance, automation, and AI reasoning.


💡 Core Features

🧠 Contextual Awareness

  • Object recognition: Identify components, tools, and parts on the workbench.
  • Spatial memory: Remember where items were last seen.
  • Gesture interaction: Activate, select, or highlight using simple hand movements.
  • Multimodal understanding: Combine voice + gesture + camera input for seamless control.

🎙️ Natural Language & Voice Interface

  • Full voice interaction (speech recognition + TTS).
  • “Ask and point” mode — e.g., “Show me the pinout of that chip” while pointing.
  • Conversational AI for design, debugging, or workflow help.

🤖 Agent Collaboration

  • Communicate with other AI agents or APIs (ChatGPT, Copilot, HuggingFace).
  • Delegate complex tasks: “JARVIS, ask Copilot to generate code for a DHT22 sensor.”
  • Multi-agent orchestration for teamwork between specialized AIs.

🧰 Developer & Engineer Productivity

🔍 On-the-Fly Documentation

  • Auto-detect components and display datasheets, pinouts, or schematics.
  • Project relevant wiring diagrams directly onto your workbench.

💻 Code Assistance

  • Integrate with VS Code or IDEs via API.
  • Generate, debug, and upload firmware automatically.
  • Explain serial logs or compiler errors with natural language.

⚙️ Workflow Automation

  • Deep integration with n8n for low-code task automation.
  • Automate actions like:
    • Uploading code to devices
    • Sending project update emails
    • Logging time in Google Sheets or Notion
    • Scheduling via Google Calendar

🔧 Hardware Augmentation

📽️ Projection Overlay

  • Visual guidance: wire connections, alignment grids, and measurements.
  • Step-by-step assembly projections.
  • Highlight workspace “safety zones” or active areas.

📷 Vision & Recognition

  • QR code and text recognition (OCR).
  • Component classification (resistor, IC, etc.).
  • Workspace monitoring and alerts (motion, smoke, temperature).

🌐 IoT Integration

  • Connect to smart plugs, lights, and sensors.
  • Read environmental data (temperature, humidity, air quality).
  • Execute voice commands like “Turn on the soldering lamp.”

☁️ Connectivity & Collaboration

  • Google / Microsoft Integration: Calendar, Drive, Tasks, and Sheets.
  • Remote Monitoring: Securely stream your workspace camera feed.
  • Collaboration Tools:
    • Project remote teammate’s video feed or sketches.
    • Real-time annotation and virtual whiteboard projection.

🧩 Tech Stack

Category Tools / Frameworks
Hardware Raspberry Pi 5, Camera Module, Projector
Vision OpenCV, MediaPipe, TensorFlow Lite
Voice Vosk / Whisper / Google Speech API
Automation n8n, Node-RED
AI Agents OpenAI GPT, HuggingFace, LangChain
Connectivity MQTT, WebSockets, REST APIs
Interface Flask / FastAPI (Backend), React / Electron (Control UI)

🧱 Future Roadmap

  • Enhanced 3D projection mapping
  • Multi-user collaboration support
  • Adaptive learning (workspace usage patterns)
  • Edge AI for faster local inference

🛠️ Getting Started

Requirements

  • Raspberry Pi 5
  • Pi Camera or compatible USB camera
  • Mini projector (HD or higher)
  • Microphone + speaker
  • Internet connectivity

⚠️ Build Tool Requirement

This repository does not support pip install -r requirements.txt. All dependency management is handled via uv using pyproject.toml and uv.lock.

Attempts to install dependencies without uv may fail or produce inconsistent environments.

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