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AI-Powered Nutrition Chatbot for Rural Communities
  1. case
  2. AI-Powered Nutrition Chatbot for Rural Communities

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AI-Powered Nutrition Chatbot for Rural Communities

streaver.com
Non-profit
Health & Fitness
Information technology

Challenges in Providing Scalable Nutrition Support

Rural communities in Tungurahua lack accessible, culturally appropriate nutrition guidance. Existing solutions require infrastructure adaptation for scalability, SMS integration for low-connectivity areas, and localization to address linguistic/cultural nuances while maintaining data privacy and long-term sustainability.

About the Client

Non-profit organization focused on rural community development and nutrition support in Ecuador

Goals for Expanding Nutrition Support

  • Develop a scalable AI chatbot platform for rural nutrition guidance
  • Implement culturally adapted communication for Ecuadorian communities
  • Enable SMS-based accessibility for low-connectivity environments
  • Establish secure data management with privacy compliance
  • Ensure long-term maintainability for independent operation

Core System Functionalities

  • AWS Bedrock-powered natural language processing
  • Decision-tree logic for personalized nutrition recommendations
  • SMS integration for offline-capable communication
  • Web-based backoffice for content management and analytics
  • User registration system with data encryption

Technology Stack Requirements

AWS Bedrock
Modular cloud architecture
API-first design

System Integration Needs

  • SMS gateway services
  • User authentication systems
  • Data analytics dashboard

Operational Constraints

  • Cross-time zone scalability
  • High availability in low-bandwidth scenarios
  • GDPR-compliant data security
  • Future-proof modular design

Expected Community and Operational Impact

Enables Fundación ADHA to independently scale nutrition support across rural Ecuador, with potential expansion to 1000+ users within 12 months. SMS integration will improve accessibility for 80% of target users in low-connectivity areas, while secure data management ensures compliance with privacy regulations. Modular architecture allows for future feature additions and regional adaptations.

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