This site is currently only available on pc & mobile
APOLOGIES FOR THE INCONVENIENCE
GrainFree is an AI-powered nutrition and meal-tracking app designed for people with celiac disease, gluten sensitivity, and other dietary restrictions. It unifies AI-generated health plans, calorie and macro tracking, allergen-aware recipe and product discovery, and a personalized dashboard—powered by real data from trusted food databases to ensure every meal and product is safe and accurate.
GrainFree simplifies allergen-safe living with a curated hub of verified recipes, packaged products, and intuitive tools to track daily nutrition. Users can explore safe foods, log meals, and receive personalized dietary guidance in a fast, modern interface backed by secure authentication and cloud-synced storage—all in one clean, reliable platform.
Defined the core problem for users with celiac disease and dietary restrictions. Mapped out essential features including meal tracking, AI-driven health plans, allergen filtering, and product discovery.
Designed the core user flows in Figma—dashboard, hub search, meal view, product details, and profile settings. Focused on accessibility, clarity, and frictionless nutrition logging.
Connected Spoonacular and OpenFoodFacts APIs for accurate nutrition, allergen details, macros, and product information. Added intelligent filtering + fuzzy search logic.
Built the UI with Next.js, TypeScript, and Tailwind. Added smooth animations (Locomotive), responsive layouts, and reusable components.
Integrated Groq to generate personalized dietary plans tailored to allergies, nutrition goals, and calories.
Improved performance with server-side fetchers, caching, revalidation, Next/Image optimization, and code refactoring.
Repeated testing across devices and refined UX layout for the dashboard, hub search, and product–meal linking.
Automated health plans reduce user overwhelm and help people follow tailored nutrition goals without guesswork.
Centralizes gluten-free, dairy-free, nut-free, and vegan options, making dietary compliance significantly easier.
By combining meal data, product details, and database-backed allergen tags, users avoid unsafe foods more reliably.
Users can quickly identify safe meals and grocery items using allergen-aware search and product-level data.
The architecture now supports barcode scanning, advanced recommendations, social features, and mobile app expansion.
Auvance
