Colorful AI Nutrition Web App

I’m building a web application that lets people snap or upload a photo of their meal and instantly see a full nutritional breakdown—calories, protein, fat, and carbohydrates—presented in a lively, colorful interface. Your main tasks are to wire the image-upload flow to Google Cloud Vision for food recognition, map each detected item to an accurate nutrition database, and return the aggregated results on a responsive front-end that looks great on both mobile and desktop.

The UI should feel vibrant and engaging rather than minimalist. Think bold palettes, playful animations, and clear visual hierarchy so users can digest information at a glance. After the nutrient panel loads, I also want to surprise users with a few recipe suggestions that incorporate the ingredients you just identified, pulling in titles, brief instructions, and a link for each recipe.

Key deliverables:
• Pixel-perfect, responsive front-end (React, Vue or similar) styled in a colorful theme.
• Secure back-end endpoint that sends images to Google Cloud Vision, interprets the response, and fetches nutrition facts.
• Logic for generating three relevant recipe suggestions per scan.
• Clean, well-commented code in a public Git repo plus a short setup guide for local and cloud deployment.

Please structure the project so we can easily bolt on features such as user profiles or dietary-goal tracking down the line. If this sounds like a fun build, let’s talk timelines and milestones.