{"slug": "fetchai-quantum-dog-breed-scanner-story-generator", "title": "FetchAI - Quantum Dog Breed Scanner & Story Generator", "summary": "A 14-year-old student from Sri Lanka built FetchAI, a cyberpunk-styled web app that uses Google's Gemini API to identify dog breeds from uploaded photos and generate personalized short stories. The app, developed with vanilla JavaScript and HTML5/CSS3, converts images to Base64 for API calls and includes a glowing dog-paw animation. The project demonstrates client-side integration of Google AI for breed classification and creative narrative generation.", "body_md": "**## What I Built**\n\nI built **FetchAI**, an intelligent, cyberpunk-styled dark mode web application that acts as a quantum dog breed scanner and an AI story generator.\n\nWhen a user uploads a portrait of their dog, the application connects directly to the Google AI matrix using the latest Gemini API (`gemini-2.0-flash`\n\n). It instantly extracts the exact breed classification, creates a behavioral profile, provides care metrics, and writes a beautiful, unique 3-sentence short story featuring the dog as a heroic character!\n\n**Best use of Google AI** 🤖 (Powered by Gemini API via Google AI Studio).\n\nHere is the repository link containing the full source code and preview details:\n\n**[ https://edirisinghekinurimahoshadhi-debug.github.io/Dog/]**\n\nI am a 14-year-old student (Grade 9) from Sri Lanka, currently learning coding through freeCodeCamp and AI concepts via the Elements of AI course.\n\nWhen I saw the \"Dog Days Edition\" challenge, I wanted to build something highly functional but with a premium, engaging UI. I designed the front-end using clean HTML5 and modern CSS3 featuring a glowing golden dog-paw pulse animation (`🐾`\n\n) inspired by the classic Google search Easter egg.\n\nThe hardest part was converting the uploaded image into a Base64 stream inside vanilla JavaScript and passing it down to the Gemini API securely without using any heavy back-end frameworks. With strict prompts, the AI now successfully identifies the breed and automatically generates a creative narrative (\"The Hero's Tale\") giving the dog a random name!\n\nThis project taught me how seamlessly Google AI can be integrated into everyday client-side web applications to build fast, intelligent, and user-centric features.", "url": "https://wpnews.pro/news/fetchai-quantum-dog-breed-scanner-story-generator", "canonical_source": "https://dev.to/kinuri_mahoshadhiedirisi/fetchai-quantum-dog-breed-scanner-story-generator-j70", "published_at": "2026-08-15 07:14:01+00:00", "updated_at": "2026-08-15 07:41:08.354083+00:00", "lang": "en", "topics": ["artificial-intelligence", "generative-ai", "computer-vision", "developer-tools"], "entities": ["Google", "Gemini API", "FetchAI", "freeCodeCamp", "Elements of AI"], "alternates": {"html": "https://wpnews.pro/news/fetchai-quantum-dog-breed-scanner-story-generator", "markdown": "https://wpnews.pro/news/fetchai-quantum-dog-breed-scanner-story-generator.md", "text": "https://wpnews.pro/news/fetchai-quantum-dog-breed-scanner-story-generator.txt", "jsonld": "https://wpnews.pro/news/fetchai-quantum-dog-breed-scanner-story-generator.jsonld"}}