✨ Hiresense - Hackathon Project Summary

🎯 Theme & Track

Theme: Open Innovation Track: Agentic AI

AI-led interviews from start to summary.


💡 Inspiration

Hiring is one of the most critical yet time-consuming processes in any organization. We noticed how recruiters and candidates alike suffer from long, manual, and often biased technical interview rounds. This inspired us to create a solution that leverages AI to automate and improve the screening process — making hiring faster, fairer, and more scalable.


🔧 What it does

Hiresense automates the early rounds of technical interviews:

  • Generates role-specific questions using Gemini AI
  • Conducts real-time, voice-based interviews with Vapi AI
  • Transcribes and summarizes interviews automatically
  • Provides a centralized dashboard for recruiters to manage everything
  • Also allows candidates to practice mock interviews and get feedback

🛠️ How we built it

  • Frontend: Built using Next.js, Tailwind CSS, and Shadcn UI
  • Backend: Powered by Node.js and Next.js API routes
  • Authentication: Implemented via Google OAuth
  • Database: Managed with Supabase
  • AI Integration: Used Gemini AI for question/summaries and Vapi AI for voice interviews

🚧 Challenges we ran into

  • Integrating real-time voice with Vapi AI and ensuring latency-free interactions
  • Handling multiple async API calls and rate limits with Gemini AI
  • Creating a consistent data sync between interviews, transcripts, and admin dashboard
  • Designing a user-friendly UI under tight hackathon time constraints

🏆 Accomplishments that we're proud of

  • Successfully implemented real-time, AI-conducted interviews
  • Achieved end-to-end automation from job creation to summary delivery
  • Created a clean and scalable architecture using modern frameworks
  • Delivered a working MVP within the hackathon timeline

📚 What we learned

  • Deepened our experience with Agentic AI and how to practically apply it
  • Learned efficient API handling and integration with tools like Vapi and Gemini
  • Improved our ability to collaborate under pressure and manage modular development
  • Understood the importance of balancing tech with user experience in real-world apps

🚀 What's next for Hiresense

  • Add support for video interviews and AI avatar interface
  • Enable admin feedback scoring and interview analytics
  • Expand use cases to support mock interview platforms for colleges
  • Offer integrations with ATS platforms like Greenhouse or Lever
  • Refine UI/UX and deploy as a SaaS tool for early-stage startups

Built With

  • a-real-time
  • and-vapi-ai-for-conducting-real-time
  • context-api
  • gemini
  • javascript
  • nextjs
  • oauth
  • openai
  • postgresql-based-backend-as-a-service.-for-ai-capabilities
  • shadcn
  • supabase
  • tailwindcss
  • the-platform-integrates-gemini-ai-for-generating-interview-questions-and-summaries
  • typescript
  • vapiai
  • voice-based-interviews.-the-project-is-deployed-on-vercel
  • vs-code
  • while-google-oauth-handles-secure-user-authentication.-all-data-is-stored-and-managed-in-supabase
  • with-development-managed-through-github
  • with-next.js-and-react.js-powering-the-frontend.-the-ui-is-styled-using-tailwind-css-and-shadcn-ui
  • with-state-managed-via-react-context-api.-the-backend-is-implemented-using-node.js-and-next.js-api-routes
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