How to Build an AI-Powered Nutrition App in Lovable (with Real AI Agents)

Introduction

Tracking your meals sounds simple — until you try to actually do it.

Manually logging calories and nutrition data takes time, and even most “AI health apps” don’t truly understand your food.

But what if you could build your own AI nutrition assistant that recognizes food from photos, analyzes calories and nutrients, and even gives you personalized advice — all without coding?

That’s exactly what we’ll do in this guide.

We’ll build DietLens, an AI-powered app that analyzes your food photo and gives real-time nutrition feedback.

You’ll use Lovable to design the interface and Momen for the backend, logic, and AI agent.

And with Vibe Architect, you’ll connect the two instantly — no coding needed.

What the App Does (and Why It Matters)

DietLens is your personal AI nutrition companion.

Here’s what it can do:

• Analyze food photos — snap a picture, and the AI detects ingredients.

• Calculate total calories and macros — carbs, protein, fat, vitamins, and minerals.

• Give personalized advice — “You might want to add more greens next time.”

Why it matters:

• It teaches users about balanced nutrition, visually and interactively.

• It helps creators or wellness founders test new ideas fast — for example, adding AI health features to a fitness app or meal tracker.

• And since it’s built visually, you control the logic and data, without writing a single line of code.

Step 1: Set Up the Backend in Momen

Think of Momen as your app’s “brain.” It handles logic, data, and AI — while Lovable handles the “face.”

Data Setup

Momen already includes default tables like:

• accounts — for login/signup

• ai_messages — for AI agent conversations

For DietLens, we’ll add just one simple table: food_calories

Field	Type	Description
food_name	text	Name of the food
calories	number	kcal per 100g
carbohydrates	number	grams per 100g
protein	number	grams per 100g
fat	number	grams per 100g
vitamins	number	mg per 100g
minerals	number	mg per 100g

This is your food data source — the AI will query this table whenever it needs to analyze what’s in the photo.

AI Agent Setup

Now, create your Nutrition Analysis Agent in Momen.

Here’s what it does:

1. Takes a food photo as input.

2. Uses an Actionflow called queryFoodInformation to look up nutritional data.

3. Returns a structured output containing:

   1. A calorie list for each ingredient

   2. A macronutrient analysis (carb/protein/fat balance)

   3. A micronutrient reminder

   4. Healthy eating suggestions

You don’t need to code this — just fill out the logic visually in Momen’s editor.

Once it’s set, test it directly inside Momen to make sure your agent responds clearly.

Example Output:

“This meal has a high carbohydrate ratio. Try adding more protein next time!”

Step 2: Connect to Lovable for the UI

Now that your backend and AI logic are ready, it’s time to bring it to life.

Here’s where Lovable and Vibe Architect make it simple:

1. In your Momen project, go to your AI Agent → click Export Blueprint.

2. Open Vibe Architect → paste the Blueprint.

3. Click Convert → it’ll generate a Lovable-compatible prompt.

4. In Lovable, create a new app → paste the prompt → and you’re done!

Your Lovable app now has:

• A photo upload interface

• A “Get Nutrition Report” button

• A results section that displays calories, macros, and suggestions

At this point, your Lovable app isn’t just beautiful — it’s connected to a real backend that understands food and makes smart recommendations.

Step 3: Why Use Momen Instead of a Coded Backend

If you’ve ever tried connecting Lovable to a coded backend like Supabase or a Python API, you know how messy it gets:

• You need API endpoints.

• You have to handle authentication.

• You debug endlessly.

Momen replaces all that with a visual backend built for AI:

• Drag-and-drop tables, workflows, and AI agents

• Built-in authentication and storage

• Direct connection to Lovable via Vibe Architect

So instead of spending hours on setup, you can spend minutes actually building your app.

Conclusion: Build Your Own AI Nutrition App Today

With Lovable for your interface and Momen for your AI + backend, you can build a fully working AI nutrition app in under 30 minutes.

No code.

No setup headaches.

Just your idea — working.

Whether you’re a wellness founder, a productivity hacker, or a no-code creator experimenting with AI, this combo helps you go from concept to reality faster than ever.

Ready to Try It?

Start your own project for free on Momen: https://momen.app

Try the permanent demo here (read-only): 👉 DietLens Workflow Example

And if you’re already using Lovable, use Vibe Architect to connect your first Momen agent today.