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Automated Candidate Interview & Evaluation System

The Automated Candidate Interview & Evaluation System (ARIES) is an agentic AI solution designed to revolutionize the "Top of the Funnel" recruitment process. Unlike traditional automation tools that rely on static keyword matching, ARIES functions as an Autonomous Recruitment Agent. It is capable of perceiving candidate nuances, making real-time decisions during an interview, and independently synthesizing complex data points into a final recommendation.

10 lectures

What You Will Learn

Master building multi-agent workflows using Microsoft AutoGen.
Implement real-time bi-directional communication using FastAPI and WebSockets.
Understand the orchestration of role-playing AI agents (Interviewer, Candidate, Evaluator).
Gain experience integrating OpenAI's GPT-4o for context-aware interactions.
Develop efficient asynchronous Python applications.
Build a modern, interactive web interface for AI-driven applications.

System Architecture

Automated Candidate Interview & Evaluation System Architecture Diagram

High-level architecture overview of the Automated Candidate Interview & Evaluation System .

What You'll Build

  • An "Automated Candidate Interview Evaluation System" capable of conducting technical interviews.
  • A Multi-Agent System where an AI Interviewer asks questions and an AI Evaluator provides real-time feedback.
  • A WebSocket-based backend that streams conversation data between the AI agents and the user interface.
  • A user-facing web application that simulates a real interview environment.
Automated Candidate Interview & Evaluation System
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