This Case Shows Specific Expertise. Find the Companies with the Skills Your Project Demands!

You're viewing one of tens of thousands of real cases compiled on Many.dev. Each case demonstrates specific, tangible expertise.

But how do you find the company that possesses the exact skills and experience needed for your project? Forget generic filters!

Our unique AI system allows you to describe your project in your own words and instantly get a list of companies that have already successfully applied that precise expertise in similar projects.

Create a free account to unlock powerful AI-powered search and connect with companies whose expertise directly matches your project's requirements.

Development of Personalized Nutrition Tracking Mobile Application

appetiser.com.au

Health & Fitness

Current Challenges in Nutrition Tracking

Existing solutions lack personalized tracking capabilities and fail to provide real-time feedback for users pursuing specific fitness goals. Manual food logging creates friction, while generic recommendations don't account for individual metabolic differences.

About the Client

Digital health platform providing personalized nutrition guidance and fitness tracking solutions

Key Project Goals

Create personalized nutrition tracking system with AI-powered recommendations
Implement barcode scanning and image recognition for food logging
Develop goal-specific tracking modules for weight loss/gain and fitness
Improve user engagement through gamified progress visualization

Core System Requirements

AI-powered food recognition from images
Barcode scanner integration for packaged foods
Personalized macronutrient tracking dashboard
Goal-specific meal planning suggestions
Progress tracking with visual analytics

Technology Stack

React Native for cross-platform development

TensorFlow Lite for on-device ML inference

Firebase Realtime Database

Apple HealthKit integration

System Integrations

USDA Food Database API
Google Fit integration
Stripe for premium subscriptions
Firebase Cloud Messaging for notifications

Non-Functional Requirements

99.9% uptime SLA for core tracking features
Sub-200ms response time for food recognition
HIPAA-compliant data storage
Support for 10,000+ concurrent users

Expected Business Impact

Enables users to achieve fitness goals 30% faster through personalized tracking, reduces user churn by 40% with intelligent recommendations, and increases premium conversion rates by 25% through enhanced feature engagement.