NutriCare connects structured clinical data directly to AI. The nutritionist records skinfold measurements (7-point), anthropometric data, allergies, health conditions, dietary preferences and activity level — then one click sends all of it to AI.
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Maker
📌
Hi Product Hunt! 👋
I'm Andrea, the solo developer behind NutriCare.
I built this because I kept seeing nutritionists waste hours every week doing the same manual work — copying patient data into Word, reformatting diet plans, rewriting the same sections from scratch. Meanwhile, the AI models
that could do this in seconds were sitting right there, completely disconnected from their clinical workflow.
So I spent 18 months building the bridge.
NutriCare takes the actual clinical data — skinfold measurements, anthropometrics, allergies, goals, dietary preferences — and sends it structured to whichever AI model the practitioner prefers (GPT-4o, Claude, Gemini, and
25+ more). The full weekly diet plan comes back in under 30 seconds, editable in-app, exportable as PDF or Word with the practice's own header.
It runs entirely on Windows desktop. No cloud, no subscription lock-in, no patient data leaving the machine. GDPR by design.
30-day free trial, no credit card: https://github.com/angeloni92/nu...
I'd love to hear from anyone working in nutrition or healthcare tech — what would make this more useful for your workflow? Happy to answer any questions below 👇
Pythagora
Congrats on the launch of NutriCare! This is a thoughtful idea and I’m excited to see where it goes. 🙌
@leon_ostrez Thank you so much! 🙏 there's a lot more coming for NutriCare. Stay tuned, and feel free to share any feedback as you explore it! 💚