The moment you’ve been waiting for—your AI assistant goes live. Today, you'll bring together everything you've built over the last few lessons: camera vision, speech recognition, text generation, and TTS, all working in sync on your Raspberry Pi.
🧠 What You’ll Learn Today:
- How to integrate your modular scripts into one unified assistant
- How to trigger actions when someone is seen or speaks
- How to process voice input, generate responses using a local LLM, and speak them aloud
- How to debug, refine, and personalize your assistant’s behavior
🧩 Your AI Assistant Will:
✅ Detect a person using the Pi Camera
✅ Greet them using text-to-speech
✅ Listen to a voice command via mic
✅ Use a local LLM (like TinyLLaMA or GPT-J) to generate a reply
✅ Speak the response aloud in real time
🔧 Integration Strategy:
Structure your code modularly for clarity:
- vision.py → Person detection
- speech.py → Record and transcribe voice
- assistant.py → Run LLM and return response
- main.py → Glue everything together
💡 Add features like:
- Wake word or delay trigger (to prevent constant activation)
- Personality via pre-scripted responses or custom voice phrases
- Timers so the assistant only activates when a person is present for 5+ seconds
🎬 Sample Scenarios:
- “Welcome back, Alex!” when it sees your face
- “How can I help you?” prompt when you walk into frame
- Answering: “What’s a fun fact?” or “Tell me a joke!”
🧪 Today’s Activity:
- Merge your camera, mic, LLM, and TTS modules
- Test the full loop — detection, speech, response
- Customize the flow to make it feel like your assistant
- Debug anything that breaks (start with individual modules!)
🛠️ Troubleshooting Tips:
- Isolate modules to spot bugs (test vision.py alone, then speech.py, etc.)
- Monitor system resources — LLMs use a lot of memory
- Use typed input if your mic is being fussy
- Add error handling to gracefully skip broken steps
📝 Homework:
- Finalize your assistant and test it in different environments
- Share a short video of it working in the #final-assistant-test Discord thread
🔥 Bonus: Add a unique feature like a weather report, a custom joke library, or face-specific greetings
🚀 Up Next:
In Lesson 10, we’ll wrap up this month’s journey by polishing your assistant and preparing it for a full showcase. You’re almost there—just one step left!