🍰 Food Mapping | Culinary Discovery Platform A CMS-driven exploration tool for food enthusiasts and brand discovery. 📌 Project Overview Food Mapping is a high-end "Brand Discovery" platform designed to showcase culinary experiences through a structured, visual-first interface. Unlike a simple recipe blog, this project focuses on the mapping of flavors and brands, allowing users to navigate through curated food collections managed via a headless CMS. 🛠️ Tech Stack Frontend: React / Next.js Content Management: Headless CMS (Contentful / Sanity / Strapi) Styling: Tailwind CSS (Utility-first responsive design) Animations: Framer Motion (For smooth transitions between food categories) Deployment: Vercel / AWS ✨ Key Features
- Headless CMS Integration The core of this project is its decoupled architecture. By using a CMS, the platform allows for: Real-time content updates without redeploying code. Structured data schemas for "Food Brands," "Locations," and "Flavor Profiles."
- Brand Discovery Engine Designed specifically for "Brand Discovery," the UI helps users filter and find new culinary experiences. Dynamic Filtering: Sort by cuisine, price point, or brand identity. Visual-Heavy UX: High-resolution optimized imagery to drive user engagement.
- Bento-Style Architecture Following the design language of my portfolio, the "Food Mapping" UI uses a Bento Grid layout to present data in a clean, organized, and modern way—ensuring the "cheesecake" (and other content) is the hero of the page. 🎨 Design Philosophy The aesthetic is "Minimalist Gourmand." * Clean Typography: Uses whitespace to let the food photography stand out. Responsive Precision: Optimized for mobile users who discover food "on the go." Interactive Cards: Custom hover states and micro-interactions that provide a premium, tactile feel. 🚀 Performance Metrics Lighthouse Score: Aiming for 90+ across SEO and Performance. Image Optimization: Utilizing Next/Image for WebP conversion and lazy loading to handle high-res food photography without lag. 💡 The "Interviewer" Insight The Challenge: Handling a large volume of high-resolution images while maintaining a fast "Time to Interactive." The Solution: I implemented a robust CMS-to-Frontend pipeline that fetches only the necessary metadata on initial load, using blur-up placeholders to ensure the UI feels fast and responsive even on slower connections. 👨💻 Connect with Me Si Yuan Cheng * LinkedIn (https://www.linkedin.com/in/csiyuan/) Portfolio (https://csiyuanportfoliowebsite.vercel.app/)