Build a Multi-agent AI Recruitment Team

#aiagents #llm #ai #aichatbot #openai #gpt4 #artificialintelligence #recruitment #airecruitment #aitutorial #aidevelopment
We have built a multi-agent AI recruitment system. We will create specialized agents powered by GPT-4o, that each handle different parts of the workflow - from parsing PDFs and analyzing technical skills to integrating with Zoom for scheduling and managing email communications. You’ll learn how to configure these agents and make them work together seamlessly while building a clean Streamlit interface that makes it all look easy.
We're using Phidata, a framework specifically designed for orchestrating AI agents. It provides the infrastructure for agent communication, memory management, and tool integration.
This recruitment system can take a candidate's resume, analyze their skills against job requirements, automatically schedule interviews for qualified candidates, and handle all the email communications - while recruiters just monitor the process through a simple dashboard.
When a recruiter uploads a candidate's resume, our system automatically evaluates their technical skills, sends personalized feedback emails, and for qualified candidates, even sets up Zoom interviews - all without manual intervention.
Our multi-agent recruitment system includes three agents: a Resume Analyzer, an Interview Scheduler, and an Email Communication agent.
Features:
→ Intelligent resume analysis with skill matching and experience assessment
→ Automated interview scheduling with Zoom integration
→ Professional email communications for acceptances, rejections, and interview coordination
→ Multi-agent architecture with specialized roles
→ User-friendly Streamlit interface
→ Secure API integration with OpenAI, Zoom, and email services
How the App Works:
1.⁠ ⁠Recruiter/user uploads candidate's resume and enters email
2.⁠ ⁠⁠Resume Analyzer assesses the application against role requirements
3.⁠ ⁠⁠If selected:
→ Email agent sends acceptance notification
→ Scheduler creates Zoom interview
→ Email agent sends interview details
4.⁠ ⁠If not selected
→ Email agent sends constructive feedback with improvement suggestions.
The tutorial is on Unwind AI's website. You can also find it in our open source GitHub repo Awesome LLM Apps.
Find all the awesome LLM Apps tutorials with RAG and AI agents in this AI newsletter for developers.
theunwindai.com
Don't forget to subscribe for FREE to access future tutorials.
#aiagents #llm #ai #aichatbot #openai #gpt4 #artificialintelligence #recruitment #airecruitment #aitutorial #aidevelopment