AI-Enabled Platform for Recruitment and Hiring
A US-based company wanted to make hiring faster for both sides. The platform lets AI handle the slow parts, like reading resumes, matching people to jobs, and running first-round interviews, so recruiters and job seekers spend less time on busywork.
Understanding the problem
Recruiters read every resume by hand, guess how well someone fits a role, run tests in separate tools, and spend time booking interviews. Job seekers apply to many jobs without knowing which ones actually match their skills.
Solution overview
A job seeker uploads a resume, and the platform builds a profile from it
It compares each profile to a job and shows how well they match
Recruiters post jobs and run hiring campaigns in stages, all from one dashboard
The platform creates tests, scores them, and uses AI to check written answers
AI voice interviews handle the first round, with transcripts sent back to recruiters
How we engineered
Resumes are read and turned into clean profile data the system can match on
The platform scores how well each candidate fits, even across thousands of them
Heavier AI work runs in the background, so the app stays fast
Voice interviews connect to the platform and send results back through webhooks
Recruiters and candidates get live updates without refreshing the page
The Impact & Results
AI reads and scores resumes, so recruiters don't have to
Candidates see jobs that fit, and recruiters find good applicants faster
AI handles first-round interviews, which cuts out a lot of scheduling
Recruiters track every candidate by stage from one dashboard
The platform keeps up as the number of candidates grows
Tools used & implementation layers
- React
- Vite
- Tailwind CSS
- Redux Toolkit
- Django
- Django REST Framework
- LLM integrations
- NLP services
- VAPI AI (voice interviews)
- PostgreSQL
- MongoDB
- Redis
- Socket.IO
- Django Channels
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