HealthSync - AI-Powered Medical Documentation Assistant

👥 Development Team (Group 12)

# Full Name GitHub Username
1 Sunny Patel sunnypatell
2 Michael Ispahani Michaelexe
3 Royce Mathew royce-mathew
4 Alyesha Singh AlyeshaS

Inspiration 🌟

In today's healthcare environment, medical professionals spend countless hours on documentation rather than patient care. We were inspired to create HealthSync after observing how AI could transform this time-consuming process into an efficient, accurate, and seamless experience.

What it does 🏥

HealthSync revolutionizes medical documentation through:

  • 🎙️ Voice-First Approach: Hands-free documentation using advanced speech recognition
  • 🤖 Dual AI Assistants: Specialized chatbots for different medical scenarios
  • 📝 Real-Time Documentation: Automatic generation of structured medical notes
  • Medical Terminology Validation: Ensures accuracy in medical terms
  • 📊 Organized Charts: Clean, standardized medical documentation

How we built it 🛠️

Our tech stack includes:

  • Frontend: Next.js & React for a responsive interface
  • AI Integration: meta-llama/Llama-3.3-70B-Instruct-Turbo API for medical context processing (70 billion parameters of processing data chunks)
  • Voice Recognition: WebkitSpeechRecognition API for hands-free input
  • Styling: TailwindCSS for modern, responsive design
  • Custom Components: Built from scratch for medical charting

Challenges we ran into 🚧

  • Implementing precise medical terminology recognition in voice input
  • Maintaining conversation context for accurate documentation
  • Optimizing AI response latency for real-time use
  • Designing an interface that works seamlessly with both voice and text

Accomplishments that we're proud of 🏆

  • Created a fully functional EMR system within 4 hours
  • Successfully integrated real-time voice-to-text with medical AI
  • Developed an intuitive interface requiring minimal training
  • Achieved accurate, automated medical documentation generation

What we learned 📚

  • Advanced AI integration techniques
  • Real-time speech processing implementation
  • Medical documentation standards
  • Healthcare UX/UI best practices

What's next for HealthSync 🚀

  • 🌐 Multi-language support
  • 🔒 HIPAA compliance implementation (following rules and bylaws, data not used for training)
  • 📱 Mobile application development
  • 🔄 EMR system integration (AI and system role content training)
  • 💻 Offline functionality (AI models running locally on enterprise servers/AWS, file shares with ACL's)
  • 🏥 Expanded medical specialties support

Try it out

HealthSync Repository

Built With

  • Next.js
  • React
  • Together AI (meta-llama/Llama-3.3-70B-Instruct-Turbo API)
  • TailwindCSS
  • WebkitSpeechRecognition API (for voice AI)

Built With

  • chunk-embedding
  • javascript
  • meta-llama/llama-3.3-70b-instruct-turbo
  • modeltransformers
  • react
  • together.ai
  • webkitspeechrecognition
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