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align=\"center\">\n\n![Python](https://img.shields.io/badge/Python-3.10%2B-3776AB?style=for-the-badge&logo=python&logoColor=white)\n![CrewAI](https://img.shields.io/badge/CrewAI-Multi--Agent-8A2BE2?style=for-the-badge)\n![Status](https://img.shields.io/badge/Status-Production%20Ready-16A34A?style=for-the-badge)\n![License](https://img.shields.io/badge/License-MIT-F59E0B?style=for-the-badge)\n\n### Autonomous AI Crew for Personalized Job Applications\n\n**An intelligent multi-agent system that analyzes job descriptions, understands candidate profiles, and generates tailored resumes + interview materials automatically.**\n\n</div>\n\n---\n\n## What This Project Does\n\nThis project uses **CrewAI** to orchestrate multiple AI agents that collaborate like a hiring strategist team.  \nIt can:\n\n- 🔍 Extract key requirements from a job posting\n- 🧠 Parse candidate background, skills, and achievements\n- 📝 Generate a tailored, role-specific resume\n- 🎤 Create focused interview preparation materials\n- ⚡ Speed up the application process with higher relevance\n\n---\n\n## Why It Stands Out\n\n- **Multi-Agent Intelligence**: Specialized agents work together instead of one generic prompt.\n- **Context-Aware Outputs**: Resume and prep content are aligned to each job.\n- **Scalable Workflow**: Reusable process for multiple applications.\n- **Professional Automation**: Helps candidates present themselves with precision and clarity.\n\n---\n\n## Core Components\n\n- **Job Requirement Extractor Agent**  \n  Identifies must-have skills, responsibilities, tools, and role expectations.\n\n- **Candidate Profile Parser Agent**  \n  Reads and structures candidate experience, projects, education, and achievements.\n\n- **Resume Tailoring Agent**  \n  Rewrites and optimizes resume content to match the target role.\n\n- **Interview Material Generator Agent**  \n  Produces targeted Q&A prep and talking points based on role + profile.\n\n---\n\n## General Requirements\n\nBefore running this project, make sure you have:\n\n- ✅ **Python 3.10+**\n- ✅ **pip** (Python package manager)\n- ✅ **Virtual environment support** (`venv` recommended)\n- ✅ **LLM API key** (OpenAI, Gemini, Anthropic, etc.)\n\n---\n\n## Supported Model Providers (Example)\n\nYou can connect this CrewAI workflow with popular model providers such as:\n\n- **OpenAI** (e.g., GPT models)\n- **Google Gemini**\n- **Anthropic Claude**\n- **Local LLM setups** *(if configured through compatible interfaces)*\n\n>  Use whichever provider best fits your budget, performance, and privacy requirements.\n\n---\n\n## Environment Variables (Common)\n\nSet the API key(s) for the provider you want to use:\n\n```bash\nOPENAI_API_KEY=your_openai_api_key\nGEMINI_API_KEY=your_gemini_api_key\nANTHROPIC_API_KEY=your_anthropic_api_key\n```\n\nYou only need the key(s) for the provider you plan to use.\n\n---\n\n## ▶️ Run Locally\n\n```bash\n# 1) Clone repository\ngit clone 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