System Online // IoT
Neural RecruitmentIntervu
Intervu
AI
An enterprise-grade AI agent ecosystem designed to conduct high-fidelity technical interviews. By leveraging real-time sentiment analysis and LLM-driven adaptive questioning, it identifies top talent with 94% accuracy.
94%
Accuracy Rate
< 2s
Latency
1.2M
Daily Processing
Core Architecture.
The project was built using a modular microservices approach, ensuring each component can scale independently under high load.
Python/FastAPI
PostgreSQL
OpenAI API
Next.js 14
Sentiment Analysis
Monitors candidate stress levels and confidence in real-time.
Adaptive Difficulty
Questions evolve based on previous answers using RAG pipelines.
Anti-Cheat Engine
Multi-layered browser and eye-tracking verification.
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