Agentic AI-Powered HR Automation
Instant CV Intelligence for Modern Hiring Teams
Python + LangGraph + FastAPI
🚀 Enterprise-grade Agentic AI platform for HR automation, candidate intelligence, and recruitment workflows.
For Anyone:
Interested In Learning Agentic AI for a real-world practical use-case
Automated CV review and candidate evaluation system using LangChain, LangGraph, LlamaIndex, FastAPI.
By AICampus - Agentic AI Research Community
🎯 Features
- ✅ Automated CV processing to Candidate Review & Evaluation
- 🤖 AI-powered data extraction (personal info, experience, skills, qualifications etc.)
- 📝 200-word professional summaries
- ⭐ Candidate scoring (1-100) with detailed reasoning
- 📊 Optional Google Sheets logging (configurable)
- 🚀 High-performance FastAPI with async support
- ⭐ Data Analytics with web-based HR Dashaboard support for management and visualization
- ⭐ Real-time notifications for HR teams
https://github.com/fanqingsong/agentic-ai-hr-automation-agent-python-langgraph-recruitment-workflow
Tech Features
- LangGraph workflows: (1) CV extraction — upload → extract → summary → save to MongoDB; (2) Job evaluation — extract job skills → evaluate candidate → skills match → score decision.
- AI-based data extraction (personal info, experience, skills) with structured JSON; minimal tokens via compact schemas.
- JWT authentication (PostgreSQL users, roles: job_seeker, hr_manager, admin).
- MinIO object storage for CV files; optional local fallback.
- Multi-LLM: OpenAI, Azure OpenAI, Anthropic Claude, Ollama (Qwen3 etc.).
- Error handling, timestamped records, health and config endpoints.
Automation Workflow
1. CV extraction workflow (single CV upload): upload_cv → extract_cv_data → generate_summary → save_candidate_to_mongodb.
2. Job evaluation workflow (score candidate for a job): extract_job_skills → evaluate_candidate → skills_match → score_decision.
出处：http://www.cnblogs.com/lightsong/
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