Project Story

💡 Inspiration

Heart disease remains the leading cause of death globally, with many cases preventable through proper care and lifestyle changes. After witnessing a family member struggle with post-cardiac event management, we realized the need for a comprehensive digital solution that goes beyond basic symptom tracking. Heart2Heart was born from the vision to create a compassionate AI companion that empowers patients with both medical guidance and daily support.

❤️ What It Does

Heart2Heart is a holistic health management platform that:

  • Provides 24/7 AI-powered cardiac guidance through natural language conversations
  • Automates medication management with smart reminders and tracking
  • Generates personalized daily health plans based on individual risk factors
  • Creates a supportive feedback loop between patients and their care routines

🛠️ How We Built It

The Journey:

  1. Architecture Design: Created a microservices architecture with clear separation between AI services and core application logic
  2. AI Integration: Developed a custom prompt engineering layer on OpenAI API to ensure medically-safe responses
  3. Security First: Implemented JWT token rotation with NextAuth.js for strong authentication
  4. Database Magic: Designed a PostgreSQL schema used for medication data and user history
  5. Containerization: Dockerized both frontend and backend for seamless environment parity

🧗 Challenges We Faced

  1. Medical Accuracy: Balancing AI capabilities with responsible health guidance required extensive prompt engineering
  2. Synchronization Hell: Coordinating tasks between teammates and merging files on GitHub
  3. Authentication Security: Implementing secure JWT refresh patterns between FastAPI and Next.js
  4. Database Optimization: Managing complex query patterns for medication history and task completion tracking

🏆 Accomplishments We're Proud Of

  • Achieved sub-second response times for AI recommendations
  • Developed a safety layer that filters out 99% of potentially harmful AI suggestions
  • Implemented end-to-end encryption for all health data transmissions
  • Reduced initial load time by 40% through advanced code-splitting

📚 What We Learned

  • Medical Tech Ethics: The critical importance of disclaimers and safety layers in health AI
  • Performance Optimization: Caching strategies for AI-powered applications
  • Security Deep Dive: Advanced JWT implementation patterns
  • Team Collaboration: Managing complex integrations between Python and Node.js ecosystems
  • User-Centric Design: Conducting accessibility audits for users with cardiovascular limitations

🚀 What's Next for Heart2Heart

  1. SMS notification system: Having push notifications from the calendar to cellular devices for more convenience.
  2. Multimodal AI: Incorporate visual symptom analysis.
  3. Clinical Trials: Partner with medical institutions for evidence-based validation
  4. Predictive Analytics: Develop ML models for early risk detection

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