HealthByte - Atlantic AI Summit 2025

🏆 First Place Winner | AI-Driven Healthcare Misinformation Combat Platform

Team HealthByte:

Eduard Kakosyan (Lead AI Developer), [email protected]
Huy Huynh, [email protected], GitHub
Hao Tang, [email protected], GitHub
Tobi Onibudo, [email protected], GitHub

🚀 Project Overview

HealthByte represents a breakthrough in combating healthcare misinformation through AI-driven simulation and content optimization. This platform anticipates public reactions to healthcare content and actively helps communicators craft more effective, trustworthy messaging.

The Problem: Healthcare misinformation spreads faster than factual information, leading to poor medical decisions and public health crises. Traditional approaches to combat this are reactive rather than proactive.

Our Innovation: An AI-powered simulation platform that models diverse public reactions to healthcare content, enabling proactive optimization of messaging before publication.

🏆 Results & Impact

🥇 First Place at the Atlantic AI Summit 2025 among 20 university teams from across Atlantic Canada
Novel Approach: Pioneered proactive misinformation detection and public sentiment analysis
Real-World Application: Designed for Nova Scotia healthcare communicators, writers, and reporters
Scalable Solution: Built to handle diverse audiences and content types efficiently

🔬 Technical Innovation

Architecture Overview

Our solution employs a sophisticated two-agent reinforcement learning system:

🤖 Persona Agent (Powered by OpenAI o4-mini)

Processes diverse demographic and belief profiles from structured JSON data
Analyzes healthcare articles with advanced reasoning capabilities
Generates three-dimensional responses:
- Acceptance Rate: Quantitative trust score (0-100)
- Sentiment Analysis: Emotional reaction classification
- Reasoning Summary: Detailed psychological rationale

✏️ Editor Agent (Content Optimization Engine)

Receives persona feedback and sentiment data
Iteratively refines article content using advanced NLP techniques
Optimizes messaging for specific audience segments
Maintains factual accuracy while improving persuasiveness

🔄 Reinforcement Learning Loop

Implements adaptive optimization with up to 15 iterations
Converges on optimal content for target demographics
Tracks improvement metrics throughout the optimization process

Technology Stack

Backend: Python with advanced prompt engineering and state management
AI Models: OpenAI SDK with o4-mini for complex reasoning tasks
Cloud Infrastructure: Azure OpenAI for scalable deployment and enterprise-grade security
Data Management: Structured JSON for persona profiles and content versioning
Visualization: Custom dashboard built with modern web technologies

🌐 Interactive Dashboard

Experience our AI simulation platform: HealthByte Dashboard

Key Features:

Real-time Persona Modeling: Watch AI agents react to healthcare content in real-time
Content Evolution Tracking: Visualize how articles improve through iterative optimization
Comparative Analysis: Side-by-side comparison of original vs. AI-optimized content
Interactive Queries: Engage directly with simulated personas to understand their reasoning
Performance Metrics: Track acceptance rates and sentiment changes across demographics

🎯 Use Cases & Applications

Public Health Campaigns: Optimize vaccine information for diverse communities
Medical Communications: Improve patient education materials
News Media: Help healthcare journalists craft more effective articles
Policy Communications: Enhance government health messaging
Research: Study information acceptance patterns across populations

🔬 Future Enhancements

Multi-language Support: Expand to serve diverse linguistic communities
Real-time Fact-checking: Integrate automated fact verification
Advanced Demographics: Include more nuanced social and cultural factors
Behavioral Prediction: Extend beyond sentiment to predict actual behavior changes

🙏 Acknowledgments

Special thanks to the Atlantic AI Summit 2025 organizing committee, our industry mentors, and the government and industry judges who recognized the potential of our innovative approach to combating healthcare misinformation.

Links:

This project demonstrates the power of AI to proactively address one of public health's most pressing challenges: the spread of misinformation.