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Diosh Lequiron
All Ventures
In DevelopmentAI & Automation
AI Breed ID

Mr Pet Lover

Every dog has a story. We help you understand yours.

AI-Powered
Detection
300+ Breeds
Breed Database
Video + Profiles
Content

The Problem

Dog owners and enthusiasts struggle to identify breeds accurately. Most breed ID apps are unreliable toys. Breed-specific care information is scattered across unreliable blogs. Nobody combines instant visual identification with deep, trustworthy breed intelligence.

The Approach

Computer vision breed identification powered by Google Vision and TensorFlow, combined with the most comprehensive breed profiles on the internet. Point your phone at any dog — get the breed, temperament, health risks, care needs, and training tips instantly. AI-generated educational videos make breed knowledge accessible to every dog owner.

Status

In Development

Category

AI & Automation

Founded

2024

Role

Founder & Technical Architect

Market

Dog owners, prospective dog buyers, veterinary students, pet industry professionals

Team

Solo founder + AI pipeline

Tech Stack

Next.js 16, Supabase, Remotion, Google Vision, TensorFlow

Domain

mrpetlover.com
aicomputer-visiondogseducationvideo-generationbreed-id

Deep Dive

The Problem

Dog owners and enthusiasts struggle to identify breeds accurately. Most breed-identification apps are unreliable toys — fun for a guess, useless for a decision. And once you do know the breed, the information that matters next is scattered: temperament, health risks, care needs, and training notes live across a patchwork of blogs of uneven quality.

Nobody has combined the two halves. Instant visual identification and deep, trustworthy breed intelligence have stayed separate — so an owner who wants to actually understand their dog has to start over on a different site.

The Approach

Mr Pet Lover joins instant identification to deep knowledge. Point your phone at any dog and get the breed, then go deeper — temperament, health risks, care needs, and training tips — in one place.

The identification runs on computer vision (Google Vision and TensorFlow); the knowledge layer is built to be the most comprehensive set of breed profiles available, not a thin wrapper over a model. AI-generated educational videos make that breed knowledge accessible rather than buried in text.

What's Inside

  • AI breed identification — photo in, breed out, powered by computer vision.
  • Deep breed profiles — a database covering 300+ breeds with temperament, health risks, care needs, and training guidance.
  • Educational video — AI-generated explainers that make breed knowledge easy to absorb.

Who It's For

Mr Pet Lover is built for dog owners and prospective buyers who want to understand a dog before and after they bring it home — and for veterinary students and pet-industry professionals who need reliable breed intelligence in one place.

My Role

I am the founder and technical architect, responsible for both the computer-vision identification and the breed-intelligence layer that sits behind it.

Status

Mr Pet Lover is in active development, built on Next.js, Supabase, Remotion for video, and Google Vision with TensorFlow for identification. The focus is making identification reliable enough to trust, then pairing every result with profile depth that holds up.

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Milestones

2024
Concept and architecture design
Q1 2025
Computer vision pipeline built
Q2 2025
Breed profile database seeded
2025
Video generation pipeline (Remotion)

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