Inverview Agent

Inspiration

Technical interviews are often inconsistent, time-consuming, and resource-intensive. We saw how AI could revolutionize this process by providing standardized, available-anytime technical interviews while maintaining the interactive nature of human conversations. The shortage of experienced interviewers and the need for scalable hiring solutions inspired us to create InterviewAgent.

What it does

• Automated scheduling and email coordination with candidates
• Live coding sessions with AI-driven technical discussions
• Real-time code execution and evaluation
• Comprehensive interview recordings and performance analysis
• AI-generated assessments of technical skills

How we built it

We developed InterviewAgent using:

• Next.js and TypeScript for a robust frontend
• PostgreSQL (Neon) for data management
• WebRTC for real-time communication
• AI integration for interview conducting
• Clerk for authentication
• Vercel Blob for storage

Challenges we ran into

• Ensuring natural AI conversation flow during technical discussions
• Managing complex state across live coding and video sessions
• Synchronizing audio, video, and coding data for comprehensive review

Accomplishments that we're proud of

• Created a seamless AI interviewer that can conduct technical discussions
• Developed a comprehensive recording and review system
• Implemented secure and scalable user authentication
• Achieved natural integration of scheduling and communication features

What we learned

• Real-time data synchronization techniques
• AI integration for natural language processing
• Browser APIs for media recording
• State management for complex real-time applications

What's next for Inverview Agent

• Advanced analytics for candidate evaluation
• Mobile app for interview reviews
• Support for more programming languages

Built With

• clerk
• elevenlabs
• fal
• lovable
• mastra.ai
• monaco
• neon
• next.js
• posthog
• resend
• shadcn
• typescript
• v0
• vercel