AI Nutrition Scanner: Photo to Macros in 2 Seconds
The AI nutrition scanner MVP is NutriSnap, a vision AI app SpeedMVPs built in 2 weeks that identifies food items from photos, calculates macros and micronutrients, tracks daily intake and gives AI-powered dietary recommendations. A health startup needed the working MVP to pitch Series A investors, and the build uses GPT-4 Vision for food identification with a barcode scanner fallback.
SpeedMVPs built NutriSnap: a vision AI app that identifies food items from photos, calculates macros and micronutrients, tracks daily intake, and provides AI-powered dietary recommendations.
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2 Weeks
Timeline
Project Overview
1
What We Built
- SpeedMVPs built NutriSnap: a vision AI app that identifies food items from photos, calculates macros and micronutrients, tracks daily intake, and provides AI-powered dietary recommendations.
2
The Challenge
- A health startup wanted to build an AI food recognition app to challenge MyFitnessPal's manual entry model. They needed a working MVP to pitch to Series A investors.
3
Our Solution
- GPT-4 Vision food identification
- Nutritional database lookup
- Daily macro & calorie tracking
- AI dietary coach
- Barcode scanner fallback
- Progress analytics