HireSense AI

Inspiration

Why we built it: Solving bias and cheating in technical hiring

What it does

AI-powered interviews with Gemini Eye tracking proctoring CV analysis with skill gap identification Comprehensive reporting

How we built it

Complete tech stack breakdown React + TypeScript + TensorFlow.js + Gemini AI Architecture and integrations

Challenges we ran into

Eye tracking accuracy Gemini API quota management Session persistence Visual warning visibility Multi-modal AI context

Accomplishments that we're proud of

Fully functional eye tracking in browser Seamless AI integration Professional UI/UX Complete end-to-end flow

What we learned

Technical: Browser ML, prompt engineering, multi-modal AI Product: Visual feedback, error messages, session persistence Process: Iteration, logging, documentation

What's next for HireSense AI

Short-term: Audio alerts, video recording, multi-language Advanced: Live coding, screen sharing, team interviews Enterprise: ATS integration, analytics, SSO Business model: Freemium → Pro → Enterprise

Built With

• css3
• es6+)
• geminiflash
• google/generative-ai
• googleaistudio
• javascript
• mediapipefacemesh
• postgresql
• react
• sql
• supabase
• tailwindcss
• tensorflow-models/face-landmarks-detection
• tensorflow.js
• typescript
• vite
• webspeechapi