A website to find lost dogs with AI-powered breed detection

Problem statement

Users who find lost dogs struggle to accurately identify the dog’s breed due to limited knowledge of breed characteristics, while the form itself is overly cumbersome to complete. These issues hinder the website’s ability to efficiently match lost dogs with their owners.

AI breed detection

We’ve built an AI-powered automatic breed detection mechanism using Amazon Rekognition software. Users simply need to take a picture of their dog, upload it to the website, and the AI works behind the scenes to detect the dog’s breed based on probability. During the testing phase, we achieved an accuracy rate of over 80%, which we were very pleased with.

Design exploration

Styles

Components

Responsive design

With 9+ years of experience at the intersection of design and technology, I craft impactful, user-focused solutions with a passion for storytelling and engaging UX.

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Case studies

loveholidays Trinity college london Modelsider Motor Omniplatform Lost dog

Keywords

AI, blockchain, product design, UX design, user-focused solutions, interaction design, storytelling in design, engaging user experiences, design and technology, design systems, design operations, process optimisation, design handoff, styleguides, UI libraries, design vision, creative problem-solving, collaborative design, innovative design solutions, front-end engineering, dynamic design, accessibility design, responsive design, prototyping, usability testing, design thinking, cross-functional collaboration, iterative design, visual hierarchy, scalable design systems, customer-centric design, mobile-first design, micro-interactions, user research, wireframing, data-driven design.