Inspiration
Pet food recalls happen more often than most people realize, and many pet owners are unaware that the food they are feeding could be unsafe. Checking recall websites and analyzing ingredient lists manually is time-consuming and confusing. We wanted to create a simple tool that gives pet owners instant, reliable answers. Our goal was to use AI to make pet food safety information accessible, understandable, and actionable in seconds.
What it does
PawGuard is an AI-powered pet food safety scanner that analyzes pet food brands and gives a clear safety report.
Users can:
Search any pet food brand
Get a safety score from 0 to 100
See active and past FDA recalls
Detect potentially toxic ingredients for specific pet types
View AI-powered nutritional analysis
Verify whether a brand is legitimate
It supports dogs, cats, birds, fish, and small animals.
PawGuard helps pet owners make safer decisions and avoid harmful products.
How we built it
We built PawGuard using modern web and AI technologies:
Frontend
Next.js 15
React
Clean, responsive UI
Backend
API routes in Next.js
Custom brand verification system
Structured pet food database
AI Integration
Claude AI for:
Ingredient safety analysis
Nutrition breakdown
Safety scoring
Data
Built-in FDA recall dataset
Verified pet food brand list
We designed the system to combine real safety data with AI analysis to produce easy-to-understand results.
Built With
- ideavo
- next.js

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