🧠 Inspiration

With the growing complexity of healthcare, many patients struggle to understand symptoms, navigate diagnostics, or interpret prescriptions. We wanted to build an AI-powered assistant that bridges this gap — providing faster, smarter, and more accessible care, all while ensuring privacy and ease of use.


💡 What it does

MediNova AI is an intelligent, multi-agent healthcare platform that helps users:

  • Analyze symptoms (voice/text input)
  • Recommend diagnostic tests
  • Suggest evidence-based treatments
  • Decode and summarize prescriptions
  • Analyze and annotate radiology images (X-rays, scans, etc.)
  • Generate structured medical reports in PDF format
  • Chat with a multilingual AI medical assistant
  • Access a dedicated doctor dashboard for role-based insights

🛠️ How we built it

We used the following technologies:

  • Frontend: React.js, Tailwind CSS, Vite, Shadcn/UI, Framer Motion
  • Backend & Auth: Firebase Authentication, Firestore, Firebase Storage
  • AI Models: Gemini 2.5 Flash API (Text + Vision)
  • Other Features: PDF generation, Voice input via Web Speech API, Role-based access control
  • Deployment: Vercel

We followed a modular, multi-agent approach — each AI feature is handled by a specialized agent communicating with others to deliver comprehensive results.


🚧 Challenges we ran into

  • Ensuring consistent and interpretable responses from Gemini across modules
  • Handling large file uploads (e.g., radiology scans) efficiently
  • Designing role-specific user flows for both patients and doctors
  • Managing multilingual capabilities and UI responsiveness
  • Balancing HIPAA-style privacy with real-time Firebase integration

✅ Accomplishments we're proud of

  • Integrated Gemini 2.5 Flash API for real-time diagnosis and medical insight
  • Successfully built end-to-end medical workflow (symptom → diagnosis → treatment → report)
  • Developed a clean, responsive UI supporting multilingual chat, voice input, and PDF reports
  • Enabled radiology and prescription analysis through image-based inference

📖 What we learned

  • Practical application of Gemini’s text and vision models in healthcare
  • Structuring real-world, multi-agent systems for user-specific AI workflows
  • Securely managing health-related data with Firebase’s tools
  • The importance of clarity, security, and UX in medical apps

🚀 What’s next for MediNova AI

  • Launching a mobile PWA version
  • Integrating live pharmacy/lab locator and appointment booking
  • Expanding AI capabilities for chronic disease prediction
  • Adding biometric analysis and real-time doctor collaboration tools
  • Enhancing encryption and compliance for production-level HIPAA standards

Built With

Share this project:

Updates