Voice-Enabled Peer Navigator for Thalassemia Care

“Voice-Enabled Peer Navigator for Thalassemia Care”

Inspiration

• Thalassemia patients face significant care challenges due to:

  • The complexity of their condition (requiring regular transfusions).
  • Poor treatment adherence.
  • Low access to education and emotional support.

• Many patients experience anxiety and poor condition management.

• Barriers such as low literacy, language issues, and geographic remoteness limit access to proper care.

What it does

• A voice-enabled platform that:

  • Connects patients with peer navigators for real-time support.
  • Uses AI (GPT-3.5 API) for smart symptom triaging and education.
  • Offers bite-sized educational content in multiple languages.
  • Matches users with suitable peer navigators.
  • Provides access via voice or app, ensuring inclusion for low-literacy and rural users.

How we built it

• Tech Stack:

  • Python with SpeechRecognition, pyttsx3, or gTTS for voice interaction.
  • OpenAI GPT-3.5 API for education and triage.
  • A mock database for peer matching.

• Design Priorities:

  • Consent-driven and anonymized workflows.
  • Accessible via smartphone app or IVR.

• Development Timeline:

  • Day 1: Built voice input/output and triage bot.
  • Day 2: Added peer matching and education modules.
  • Day 3: Finalized UI/UX and polished the demo.

Challenges we ran into

• Voice recognition errors: Solved using fallback options like simple prompts and text input.
• Peer navigator availability: Addressed with planned volunteer recruitment.
• Privacy concerns: Tackled via consent workflows and anonymized data.
• Connectivity limitations: Built for both smartphone apps and IVR for broader access.

Accomplishments that we're proud of

• Built a fully functional MVP in 3 days.
• Delivered a patient-centric, AI-powered care platform.
• Created a solution that breaks down literacy, language, and access barriers.
• Developed a smart triage system to assist with real-time decision-making.

What we learned

• Voice AI can significantly improve healthcare accessibility for underserved populations.
• Consent and data privacy are critical in healthcare tech solutions.
• Human-centered design makes technology more inclusive and impactful.
• Effective team coordination and rapid iteration are key to success in a hackathon environment.

Built With

• python