FoodPrint
Image-based diet scoring and insights integrated with AI and LLM, completed independently in under 10 hours.
FoodPrint was inspired by the need for a meal-tracking app tailored to individuals who face challenges with diet habits. The project addresses the unique needs of those with limited access to nutritious and affordable food or have limited time to prepare meals.
It enables users to take a photo of their daily meal, analyze its nutritional content, receive real-time suggestions for personalized ways to improve their dietary intake, and track their progress over time. Each meal logged in the app not only empowers users with personal insights but also contributes to broader public health efforts in tackling food insecurity.
Tags:
Next.js,
shadcn,
LLM,
Axios,
Zod
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