Robotics Build, Learning - 12

Описание: 🧠 Learning Focus:
Today’s build combines computer vision, speech recognition, and text-to-speech into a fully threaded, non-blocking assistant that listens, sees, understands, and responds — all in real time.

⚙️ What I Built:

Live webcam capture without freezing

Continuous audio recording → STT pipeline

TTS responses using OpenAI

A threaded loop so the UI never hangs

Status overlays that update as the assistant thinks

Clean PyCharm project setup from scratch

🎯 Why This Matters:
This is my first true multimodal interaction loop. The assistant now observes the world, interprets it, and answers back — a fundamental step toward embodied AI and robotics.

🧪 What I Tested:

Webcam pipeline

Audio record/playback

STT/TTS endpoints

OpenAI model integration

Threading behaviour

📚 Learning Insight:
Building this wasn’t “copy code and pray.” I rebuilt the pipeline step by step: wipe → configure → isolate → integrate → stabilize. The robotic voice is just a model limitation — the architecture is solid.

🔨 Tools Used:
Python, OpenCV, sounddevice, soundfile, threading, OpenAI API

🎓 Learning Outcome:
A stable foundation for future perceptual robotics — the beginnings of Maya-Embodied intelligence.

#Robotics #Python #ComputerVision #AI #STT #TTS #OpenAI #LearningDesign #MakerEducation #Portfolio