VitaeAI : AI Powered HealthCare App

Empowering health through AI: your personalized healthcare assistant for instant health insights, medical report scanning, and image-based diagnosis.

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Inspiration

The AI Healthcare platform was inspired by the potential to make healthcare more accessible and personalized for everyone. In an era where medical resources can be hard to access promptly, this app aims to provide users with instant insights and health assistance, particularly for those in remote locations or underserved communities.

What it does

This AI-powered healthcare app offers:

  • AI Health Assistant: A virtual health assistant that answers health-related questions and provides tailored advice.
  • AI Vision for Health Scanning: Uses image analysis to detect potential health issues based on user-uploaded photos.
  • Document Scanning (Future Update): A feature in progress that will allow users to scan and organize prescriptions and medical reports for quick access.

How we built it

The app is developed with:

  • Next.js for both frontend UI and backend server functions.
  • Firebase for secure authentication and Firestore database management.
  • Google Cloud Vision API for analyzing health-related images (integration in progress).
  • Vercel AI SDK to incorporate AI capabilities that deliver real-time health insights and advice.

Challenges we ran into

The biggest challenge was integrating the Google Cloud Vision API to support document scanning, especially for medical prescriptions and reports. This integration is still ongoing as we aim to ensure accurate and privacy-compliant handling of medical data. Additionally, maintaining fast and accurate AI responses while handling complex API workflows was challenging but crucial for user experience.

Accomplishments that we're proud of

We’re proud to have created a foundational AI-driven health assistant that is able to analyze images and provide users with useful health insights. The app's potential for real-time interaction and the personalized health assistance feature are key milestones. Building a secure authentication system with Firebase and designing a user-friendly interface were also major achievements.

What we learned

This project taught us about the nuances of integrating AI with health applications. We gained experience in using Firebase for secure, scalable data storage, and we learned a lot about API handling, particularly in handling sensitive health data and achieving smooth data processing with minimal latency.

What's next for AI Powered HealthCare App

Moving forward, we plan to:

  • Complete Document Scanning: Finalize integration with Google Cloud Vision API to enable prescription and report scanning.
  • Expand AI Capabilities: Continue refining the health assistant to provide even more accurate and contextually aware responses.
  • Enhance User Experience: Implement feedback loops and enhance the UI for a more seamless user journey.
  • Expand to New Health Features: Integrate additional health-related APIs to cover a broader range of health metrics and insights.

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