I Built an AI That Analyzes Pet Behavior — Here's the Python Stack Behind It

I Built an AI That Analyzes Pet Behavior — Here's the Python Stack Behind It My dog stares at me for 45 minutes straight every morning. Not blinking. Just... watching. So naturally, I did what any developer would do: I built an AI to figure out what she's thinking. What started as a weekend joke turned into MyPetTherapist — an AI-powered platform that helps pet owners understand their animals' behavior patterns. Here's the stack, the lessons, and the one architectural decision I almost got catastrophically wrong. The Problem (Beyond My Creepy Dog) Vet behaviorists charge $250–$500/hour. Most pet owners can't afford that — but they do have smartphones, photos, and a burning need to know why their cat knocks things off tables at 3 AM. The goal: make behavioral insights accessible, fast, and actually useful. The Stack 1. Vision Pipeline: GPT-4o + Custom Prompt Engineering The core is a vision analysis pipeline. When a user uploads a photo or short video, we extract frames and run them thr