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Development of a Personalized Nutrition Tracking Platform with Big Data Integration
  1. case
  2. Development of a Personalized Nutrition Tracking Platform with Big Data Integration

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Development of a Personalized Nutrition Tracking Platform with Big Data Integration

geniusee.com
Health & Fitness
eCommerce

Challenges in Creating a Data-Driven Nutrition Platform

Existing solutions lack personalized, science-backed nutrition recommendations integrated with seamless grocery ordering functionality. The platform must handle large datasets from scientific studies while maintaining intuitive user experience across hybrid mobile and web interfaces.

About the Client

Digital health platform providing personalized nutrition recommendations and diet tracking solutions

Key Goals for Platform Development

  • Create a hybrid iOS/Android application with synchronized web platform
  • Implement personalized nutrition recommendations based on WHO standards
  • Develop scalable infrastructure for handling big data from scientific studies
  • Enable seamless integration between diet tracking and grocery ordering systems

Core Platform Capabilities

  • Body measurement-based calorie calculation
  • Dietary preference customization
  • Barcode scanning for food tracking
  • Personalized recipe generator
  • Grocery list creation with e-commerce integration
  • Scientific data visualization dashboards

Technology Stack Requirements

Node.js
React Native
React.js
GraphQL
AWS Lambda
DynamoDB
ElasticSearch
AppSync
Cognito

System Integration Needs

  • WHO nutritional database API
  • Third-party grocery delivery services
  • Wearable health device APIs
  • Payment gateway integration

Performance and Scalability Requirements

  • Support 100,000+ concurrent users
  • Response time under 2 seconds for 95% of requests
  • HIPAA-compliant data security
  • Auto-scaling architecture for traffic spikes
  • 99.9% system availability

Expected Business Outcomes

Enables users to achieve personalized nutrition goals through science-backed recommendations while creating a scalable digital health platform. The solution will reduce manual diet tracking efforts by 70% and increase user engagement through seamless integration of health analytics and grocery ordering functionality.

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