Build an AI-powered Hiring Agent using Google ADK and Gemini 3 to analyze resumes, assess skills, and match candidates to roles through intelligent, multi-agent collaboration.
# AI-Powered Conversational Hiring Agent Welcome to the Codelab for building an **AI-Powered Conversational Hiring Agent System** using Google's ADK (Agent Development Kit) and Gemini 3 models!  > Made with ❤️ for the open source Follow the Codelab: [codelab](https://imjt.dev/adk_hiring_agent) ## Overview This Codelab teaches you how to build a sophisticated multi-agent system that automates technical candidate evaluation through a conversational interface. The system uses specialized AI agents to evaluate resumes, validate GitHub profiles, and provide comprehensive hiring recommendations. ### What You'll Build A complete hiring automation system featuring: - **5 Specialized AI Agents**: RubricBuilder, ResumeReviewer, GitHubValidator, GitHubReviewer, VerdictSynthesizer - **1 Root Orchestrator**: Conversational coordinator that manages the evaluation workflow - **Real-time GitHub API Integration**: Live account validation and metrics - **Structured Evaluation Framework**: Objective, measurable criteria with scoring - **End-to-End Workflow**: From job description to final HIRE/NO HIRE decision ### Technologies Used - **Google ADK (Agent Development Kit)** - Agent framework - **Gemini 3 Model** - LLM for agent intelligence - **Python 3.8+** - Programming language - **GitHub REST API** - Account validation - **python-dotenv** - Environment management - **requests** - HTTP client library ### Key Concepts You'll Learn - **Multi-Agent Systems**: Coordinating multiple specialized agents - **Prompt Engineering**: Crafting effective agent instructions - **Tool Calling**: Using agents as tools for other agents - **Conversation Management**: State tracking across multiple turns - **API Integration**: Real-time external data fetching - **Structured Evaluation**: Building objective assessment frameworks - **System Design**: Architecting scalable AI applications ## Get
Google's AI-powered research notebook that ingests your documents and becomes an expert on your content. Generates audio overviews, study guides, FAQs, and interactive discussions from uploaded sources.
Google DeepMind's experimental AI agent that can navigate websites, fill forms, and complete multi-step browser tasks autonomously. Uses Gemini's multimodal understanding to interact with web interfaces.
Google DeepMind's universal AI assistant prototype that can see, hear, and respond in real-time through your device camera and microphone. Demonstrates the future of multimodal AI interaction.
Google Cloud's enterprise platform for building, deploying, and managing AI agents powered by Gemini. Supports multi-agent orchestration, tool integration, and enterprise governance.
Gemini's agentic research capability that autonomously browses the web, synthesizes information from dozens of sources, and produces comprehensive research reports on any topic.
Interactive coding and content creation agent that generates, previews, and iterates on code, documents, and interactive applications in a side panel. Supports HTML/CSS/JS, Python, and more.