NutriBuddy

Inspiration

Tracking nutrition in real life is difficult. Most people do not measure ingredients, calculate calories, or maintain food logs consistently because the process is slow and repetitive. Existing apps often require manual entry and become hard to sustain.

We wanted to build a smarter and easier solution where users can simply upload a food image, enter a recipe, or use grocery data to receive useful nutrition insights instantly.

That idea led to NutriBuddy — an AI-powered nutrition assistant focused on convenience, personalisation, and healthier daily decisions.

What it does

NutriBuddy helps users understand and improve their eating habits using AI.

Main features include:

Food image analysis for estimated calories and nutrients
Recipe analysis and Healthify recipe suggestions
Multiple-frame recipe analysis for better accuracy.
AI nutrition chat assistant
Family nutrition profiles under one app
Smart grocery list and grocery cart insights
Supplement optimizer based on dietary gaps
Goal-based personalized recommendations

NutriBuddy is designed for individuals as well as families.

How we built it

We built NutriBuddy using Flutter for a cross-platform mobile experience.

Core technologies used:

Flutter & Dart for frontend development
Firebase Authentication for secure login
Cloud Firestore for storing user profiles and goals
Google Gemini API for image and text intelligence
AMD-focused hybrid inference concept for local accelerated AI processing with cloud fallback
State management and reusable Flutter widgets for scalable UI

The system takes user inputs such as food photos, recipes, goals, and shopping preferences, then converts them into personalised health recommendations.

Challenges we ran into

Estimating nutrition from mixed food dishes
Handling diverse cuisines and regional meals
Balancing speed, cost, and AI accuracy
Designing a clean UI with many features
Managing API limits during testing
Creating meaningful family and grocery workflows

These challenges helped us improve the architecture and user experience.

Accomplishments that we're proud of

Built a complete AI-powered nutrition ecosystem instead of a single-feature app
Combined image analysis, recipe intelligence, shopping, family wellness, and personalisation
Designed a scalable mobile app using Flutter + Firebase
Integrated modern AI capabilities into a real-world healthcare problem
Created a strong prototype with practical use cases