Child Nutrition Agent

An AI-powered agent that provides personalized nutrition advice and meal plans for children based on their age, weight, and dietary needs.

Project Overview

The Child Nutrition Agent is an intelligent system designed to provide personalized nutrition guidance for children. By analyzing key factors such as age, weight, and dietary preferences, the agent delivers evidence-based recommendations aligned with established health guidelines from organizations like the WHO.

The system combines natural language processing with deep search capabilities to retrieve accurate information from authoritative sources, ensuring that all nutrition advice is scientifically sound and age-appropriate.

Demo Video

Watch a demonstration of the Child Nutrition Agent in action, showing personalized meal planning and nutritional guidance features.

Features

  • Personalized Nutrition Assessment: Analyzes child’s age, weight, height, and activity level to determine specific nutritional needs
  • Dietary Restriction Support: Accommodates food allergies, intolerances, and various dietary preferences
  • Evidence-Based Recommendations: Utilizes deep search to source information from WHO, pediatric nutrition journals, and other authoritative sources
  • Meal Plan Generation: Creates balanced, age-appropriate meal plans that meet nutritional requirements while considering food preferences
  • Interactive Q&A: Responds to specific nutrition questions with personalized, contextual information

Challenges & Solutions

Challenge: Ensuring Accuracy of Nutritional Information

Solution: Implemented a verification system that cross-references information from multiple authoritative sources before providing recommendations. The system prioritizes peer-reviewed research and official guidelines from recognized health organizations.

Challenge: Personalizing Meal Plans for Various Ages and Preferences

Solution: Developed a comprehensive database of age-appropriate foods and portion sizes, combined with a preference-learning algorithm that adapts to individual tastes while maintaining nutritional balance.

Challenge: Making Complex Nutritional Information Accessible

Solution: Created a natural language processing system that translates complex nutritional science into clear, actionable advice for parents and caregivers.

Results

The Child Nutrition Agent has successfully:

  • Provided personalized nutrition guidance to families with children of various ages
  • Generated thousands of balanced meal plans tailored to individual nutritional needs
  • Improved dietary diversity and nutritional intake for children with specific dietary restrictions
  • Simplified the process of accessing evidence-based nutrition information for parents
  • Supported healthy growth and development through scientifically-backed recommendations

Future Developments

  • Integration with food tracking and shopping list applications
  • Enhanced visual recognition of foods for easier logging and assessment
  • Expanded language support for global accessibility
  • Development of a mobile app version for on-the-go nutrition guidance