I Built an AI Pet Behavior Analyzer in Python Over a Weekend — Here's the Full Code

Ever watch your dog pace back and forth at 2 AM and think "What is going on in that head?" I did. So I built something. This is the story of how I combined computer vision, GPT-4, and a cheap Raspberry Pi camera into an AI-powered pet behavior analyzer — and what I learned about both machine learning and my dog's obvious anxiety issues. The Problem Pets can't talk. But they communicate — through posture, movement, routine, and all the weird little things they do. The challenge? Most of us aren't trained to read those signals. I wanted a system that could: Detect behavioral patterns over time Flag anomalies (sudden changes in eating, sleeping, activity) Generate natural language summaries a non-expert could actually use Here's what I built. The Stack - Python 3.11 - OpenCV (motion detection + frame sampling) - OpenAI Vision API (GPT-4o) - SQLite (behavior log storage) - FastAPI (local dashboard) - Raspberry Pi 4 + USB camera (optional — works with any webcam) Step 1: Motion Detection &