Automated Candidate Screening Agent
Develop an agent that screens job applicants using generative AI and data integration. This agent will analyze professional profiles and resumes using relevant data sources. It will be capable of classifying candidates based on skill sets and experience, and potentially suggest training opportunities. The challenge emphasizes building a system that effectively handles a large number of applicant profiles and continuously learns from its analysis. The system should employ graph-based workflows and robust agent-to-agent communication to maximize efficiency.
What you are building
The core problem, expected build, and operating context for this challenge.
Build a multi-agent system using LangGraph and Claude Opus 4.1 for candidate screening.
Challenge datasets
Public datasets, plus the private datasets you have access to.
What you should walk away with
Develop an AI agent that screens candidates and generates reports using data from different sources
Implement a scoring system to prioritize qualified candidates
Automate the candidate screening process with graph-based workflows
Reference links and supporting material
Dataset will be provided
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