Análise Nutricional com IA

AI-powered nutrition analysis from a single photo

2 followers

AI-powered nutrition analysis from a single photo

2 followers

Transform meal photos into practical nutritional information. Using their cell phone, anyone can photograph their meal and receive, in seconds, a complete nutritional analysis with the support of artificial intelligence. The platform identifies foods, estimates portions, and calculates nutritional values, and is also being developed for clinics, nutrition professionals, and healthcare companies, with customization, integration with clinical records, and continuous monitoring.

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Launch tags:Health & Fitness•Analytics•Photography

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Maker

📌

What inspired me to build this? Tracking nutrition is still harder than it should be. Most people struggle to log meals consistently, and for professionals, food records are often incomplete, subjective, or hard to trust. I was inspired to build this after seeing how much friction exists between what people eat and how that information is actually used in health decisions. The goal was to remove manual logging and turn something everyone already does — taking photos with their phone — into structured, meaningful nutritional data. This platform bridges everyday users and healthcare professionals, making nutrition tracking simple for individuals while providing reliable, integrable insights for clinical and health applications. 🧩 What problem are you trying to solve? We’re solving two connected problems: Low adherence to nutrition tracking due to manual input and complexity for everyday users. Lack of consistent, usable food data for nutritionists, clinics, and health platforms. By using AI-powered image analysis, we reduce friction for users and deliver standardized nutritional insights that can scale from personal use on a smartphone to professional, clinical-grade monitoring and integration.

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5mo ago

Maker

Hey Product Hunt 👋
I’m Julio Marques, the founder of this project.

This started from a simple frustration: nutrition tracking is still too manual and inconsistent. For everyday users, logging meals is tedious and easy to abandon. For professionals, food records are often incomplete, subjective, and hard to integrate into real clinical workflows.

We wanted to solve this by using something people already do naturally — taking photos with their phones. With AI-powered image analysis, we turn meal photos into structured nutritional insights in seconds. Anyone can use it on their phone, and at the same time it’s built to scale for clinics, nutritionists, and health platforms through customization and integration.

We’d love your feedback:

Would you use photo-based nutrition tracking?
What would make this more useful for you?
Are there any features you feel are missing?

Thanks for checking it out — happy to answer any questions 🚀

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5mo ago

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