AI Voice Medical Agent

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📌 Inspiration The inspiration behind this project came from the growing need for accessible, real-time healthcare assistance powered by AI. With voice technology rapidly advancing, I wanted to build a solution that feels like talking to a doctor—instantly and securely.

📚 What I Learned Real-time speech-to-text integration using Vapi AI and AssemblyAI

Secure user authentication with Clerk

Working with NeonDB for cloud-native PostgreSQL

Building scalable UI using Tailwind CSS

Deploying full-stack apps seamlessly on Vercel

Integrating Google Gemini for AI-generated, context-aware medical responses

🛠️ How I Built It Used Next.js and React for the frontend and routing

TypeScript ensured type safety and cleaner code

Integrated Vapi AI for real-time voice input

Connected AssemblyAI for speech-to-text conversion

Leveraged Google Gemini API for AI medical responses

Used Clerk for user authentication and session handling

Connected to NeonDB for cloud-based database

Styled with Tailwind CSS

Deployed the complete SaaS application on Vercel

🧱 Challenges Faced Synchronizing voice input with real-time API responses

Managing latency and maintaining a smooth user experience

Ensuring HIPAA-like data privacy best practices

Integrating multiple third-party APIs efficiently

Debugging real-time voice-to-text pipeline

Built With

• ai
• clerk
• css
• db
• gemini
• google
• neon
• next.js
• react.js
• tailwind
• typescript
• vapi
• vercel