I Built an AI Robot Without Writing a Single Line of Code! 🤖🥳
In this video, I take on the ultimate challenge: building a fully integrated AI robot (Jarvis) from scratch without writing a single line of code by hand.
There is a constant debate about whether AI in its current state can build complex, integrated systems. I wanted to prove that it can—provided you act as the Architect. By focusing on the big picture and using the right tools, I was able to have AI agents handle the logic, coding, documentation, and even hardware troubleshooting/wiring.
This project features a Raspberry Pi 5 core, local LLMs via Ollama, and a full hardware stack for vision, movement, and voice interaction.
🔗 Links & Resources
Full Project Source Code (GitHub): https://github.com/shatrix/rpi5-rpios...
Antigravity IDE (The tool I used): https://antigravity.google/product
🛠️ Hardware Stack
Core: Raspberry Pi 5 (4GB+ RAM) with Official Active Cooler
Vision: Raspberry Pi Camera Module 3 (IMX708)
Display: 3.5" SPI Touch Display (piscreen compatible)
Motor Control: Waveshare Motor Driver HAT (I2C, PCA9685 PWM, TB6612FNG)
Locomotion: 4x DC Motors (Mecanum/Tank steering support)
Sensors: HC-SR04-P Ultrasonic Sensor for obstacle avoidance
Audio: USB Microphone & Speakers for voice interaction
Controls: 8x GPIO Buttons for manual triggers
💻 Software Stack
OS: Raspberry Pi OS (64-bit, Debian 13 Bookworm)
AI Engine: Ollama for local LLM orchestration
Models: Llama 3.2 (1B/3B) for chat & Moondream/Qwen-VL for vision
Speech-to-Text: VOSK ASR (Offline)
Text-to-Speech: Piper TTS (Neural)
Wake Word: OpenWakeWord ("Hey Jarvis")
UI/Frontend: QML-based GUI for the animated robot face
Languages: Python, Shell, and QML
🚀 Key Takeaways
How to use AI Agents as your primary development tool.
Moving from a "Developer" mindset to an "Architect" mindset.
Integrating hardware components (sensors/motors) using AI guidance.
Running local LLMs on a Raspberry Pi 5.
If you enjoyed this project, don't forget to Like, Subscribe, and Star the Repo on GitHub!
#AI #Robotics #RaspberryPi #LLM #Ollama #AntigravityIDE #ArtificialIntelligence #NoCode #TechArchitecture #Jarvis