“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.
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.
- 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.
- 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.
- 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.
- Auto-detect components and display datasheets, pinouts, or schematics.
- Project relevant wiring diagrams directly onto your workbench.
- Integrate with VS Code or IDEs via API.
- Generate, debug, and upload firmware automatically.
- Explain serial logs or compiler errors with natural language.
- 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
- Visual guidance: wire connections, alignment grids, and measurements.
- Step-by-step assembly projections.
- Highlight workspace “safety zones” or active areas.
- QR code and text recognition (OCR).
- Component classification (resistor, IC, etc.).
- Workspace monitoring and alerts (motion, smoke, temperature).
- Connect to smart plugs, lights, and sensors.
- Read environmental data (temperature, humidity, air quality).
- Execute voice commands like “Turn on the soldering lamp.”
- 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.
| 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) |
- Enhanced 3D projection mapping
- Multi-user collaboration support
- Adaptive learning (workspace usage patterns)
- Edge AI for faster local inference
- Raspberry Pi 5
- Pi Camera or compatible USB camera
- Mini projector (HD or higher)
- Microphone + speaker
- Internet connectivity
⚠️ Build Tool RequirementThis repository does not support
pip install -r requirements.txt. All dependency management is handled viauvusingpyproject.tomlanduv.lock.Attempts to install dependencies without
uvmay fail or produce inconsistent environments.