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Nutriax: AI Meal Scanner App
Nutriax is an AI-powered meal scanner app that helps users understand their food through a simple photo.
platform
Mobile Application
team
2 Members
location
United States
industries
Health & Wellness
Project Background
Project Background
Tracking nutrition often requires users to manually search for food items, estimate portions, and enter nutritional information. This can make everyday food tracking time-consuming and difficult to maintain.
Nutriax was designed to simplify this process by allowing users to scan a meal and receive an estimated breakdown of calories, protein, carbohydrates, fats, and portion sizes. The product also gives users the ability to review and adjust AI-detected food items before saving the meal.
Empiric Infotech designed Nutriax, and one dedicated developer built it with Flutter.
Business Needs
Business Needs
- Create a simple AI-powered experience that makes nutrition tracking faster.
- Make meal scanning the primary action and core product experience.
- Provide useful nutrition information without overwhelming users.
- Build trust by clearly presenting AI results as estimates.
- Allow users to correct detected foods and portions before saving.
- Encourage continued engagement through daily nutrition tracking and meal history.
Tech stacks
Service Provided
Project Challenges
1. Making AI scanning simple
The core experience needed to take users from taking a meal photo to understanding the results with minimal friction.
2. Handling AI uncertainty
Food recognition and portion estimation are not always accurate, so users needed an easy way to review and correct the results.
3. Presenting complex nutrition data clearly
Calories, protein, carbs, fats, food items, and portion sizes needed to be presented in a way that was easy to scan and understand.
4. Building trust in AI-generated results
The experience needed to communicate that nutrition values are estimates and can vary depending on ingredients, preparation, and portion size.
5. Keeping the product focused
Instead of turning the app into a large nutrition platform, the first release needed to focus on its core value: scan, understand, adjust, and track.
Strategy and Solutions
Simplified the core journey
Designed a focused flow from Scan Meal → AI Analysis → Review → Edit → Save → Track, keeping the scanning experience at the center of the product.
Made AI results editable
Added a review step where users can check detected food items, remove incorrect items, add food, and adjust portions before saving.
Used progressive disclosure
Presented the most important information first (calories and macronutrients), followed by detected food items, portions, and detailed nutrition.
Designed for transparency
Clearly labeled nutrition values as AI estimates and added contextual messaging about variations in ingredients, preparation, and portion size.
Connected scanning with daily tracking
Integrated saved meals into the Home and Nutrition experiences so users can see their consumed calories, remaining target, macronutrient progress, and daily insights.
Kept supporting features lightweight
Added only the essential supporting experiences: meal history, meal details, profile, settings, FAQs, privacy, and account management, without distracting from the core scanning experience.
Results & Impact
- Created a complete end-to-end AI meal tracking experience from onboarding to saved meal and daily nutrition tracking.
- Reduced the amount of manual input required to record a meal by making photo-based scanning the primary interaction.
- Made AI-generated nutrition results easier to review and correct before they are added to the user's nutrition history.
- Established a clear hierarchy for calories, macronutrients, detected foods, and portion sizes.
- Created a reusable foundation for future Nutriax features while keeping the first release focused on its core value: smart nutrition, one scan away.
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