HR Tech · Recruitment Technology
AI Agentic HR Interview Screening System
AI driven screening system with autonomous question generation and AI detection fairness logic for candidate assessment.
- Role
- AI Developer
- Built autonomous screening system with fairness logic.
- Industry
- Recruitment Technology
- Timeline
- Completed
Business impact
- hr hours saved
- Significant automation
- assessment integrity
- Enhanced with AI detection
- workflow efficiency
- Streamlined end to end
Overview
Built an AI driven agentic system for HR to streamline interview screening with autonomous question generation and AI detection capabilities.
HR professionals can input a job description, and the system uses autonomous AI agents to generate relevant qualification and technical questions, score candidate responses, and detect AI generated answers for fairness.
Technical architecture
- Backend
- FastAPI with Azure Cosmos DB and AI Agents
- Frontend
- React with Vite, Azure Static Web Apps
- DevOps
- GitHub Actions with Docker
- Cloud
- Azure infrastructure
Key features
- Autonomous question generation from job descriptions
- AI detection to prevent candidates from using AI (40% threshold)
- Unique URL generation for each interview session
- End to end workflow from HR input to evaluation
- Secure storage of responses and scores
Challenges solved
- Building accurate AI detection for generated responses
- Balancing fairness with strict anti cheating measures
- Scaling for concurrent interview sessions
Tech stack
- AI Agents
- FastAPI
- Docker
- Vite
- React
- Azure
- Azure Cosmos DB
- GitHub Actions
- Azure Static Web Apps
- Python