NutriLens AI: Personalized Nutrition Analyzer Using Gemini's Multimodal Magic 🍎✨

This is a submission for the Google AI Studio Multimodal Challenge

What I Built

NutriLens AI is a personalized nutrition analyzer that revolutionizes how people understand their meals. Unlike generic calorie counters, it considers WHO you are - your age, gender, lifestyle, health goals, and medical conditions - to provide truly personalized nutrition insights.

The Problem It Solves:

• 67% of adults struggle to track nutrition accurately
• Generic apps give same advice to everyone - a diabetic senior and teenage athlete get identical analysis
• Manual food logging takes 10+ minutes per meal
• Parents guess if their children's portions are appropriate
• People with health conditions need personalized guidance but can't afford nutritionists

The Solution:

Simply photograph any meal and get instant, personalized nutrition analysis tailored to YOUR specific needs. A 7-year-old child, a pregnant woman, and a bodybuilder will get completely different insights for the same meal - that's the power of contextual AI.

Demo

NutriLens AI

📹 Video Walkthrough

Loom video

Personal Profile Setup

The app learns about you first - age, lifestyle, health goals, and dietary preferences

Home Page of the NutriLens AI

Fill All Your Personal Information

Click Save and Start Analyzing

You can Click on edit profile and based on that your daily calories intake changes

Upload Your meal image & click Analyze Meal

**
AI will completely analyze your meal and give your meal report{first half of page}**

Meal report - {second half of page}

How I Used Google AI Studio

I leveraged Gemini 1.5 Flash through Google AI Studio to create a sophisticated multimodal analysis system:

Multimodal Features

Gemini 1.5 Flash Model - For rapid image analysis.
Multimodal Processing - Simultaneous image + text understanding.
Structured Output - JSON responses for precise data extraction.
Context Awareness - Personalized analysis based on user profiles.
Google Cloud Run - Seamless deployment and scaling.

Built with ❤️ using Google AI Studio's Gemini API for the Google AI Studio Multimodal Challenge 2025