How I Built an AI-Powered Food Visualization Service in a Weekend

A developer built an AI-powered food visualization service in a weekend that converts menu text descriptions into realistic food images. The system uses a three-step pipeline: Tesseract.js extracts text from menu photos, OpenAI's GPT structures the raw text into dish descriptions, and Replicate's Stable Diffusion generates photorealistic food images. The full-stack application uses React/TypeScript for the frontend, Python Flask for the backend, and is containerized with Docker for easy deployment across platforms like Render, Railway, and Vercel.