autohire 0.1.1

AI-powered resume tailoring and job application assistant

AutoHire_AI 🚀

AutoHire_AI is an intelligent, AI-powered assistant designed to streamline your job application process. It helps you tailor your resume to specific job descriptions (JDs) and generates professional cover letters, increasing your chances of getting hired.

Note: This is Phase 1 of the AutoHire project, focusing on document preparation and tailoring.

Built with Chainlit, LangChain, and OpenAI.

Roadmap 🗺️

Phase 2 (In Development):

• MCP Integration: Integrating Model Context Protocol (MCP) servers.
• Auto-Apply: Automated job application agents with access to platforms like:
  • Naukri.com
  • LinkedIn
  • More coming soon...
• End-to-End Automation: Complete pipeline from resume tailoring to submitting the application.

Features ✨

• 📄 Resume Parsing: Automatically extracts text from uploaded PDF resumes.
• 🔍 Job Description Analysis: Fetches and extracts JD text from direct input or URLs.
• 🧠 Smart Analysis: Uses AI to analyze the match between your resume and the job description.
• ✍️ Tailored Resume Generation: Generates a new, ATS-friendly resume content optimized for the specific job.
• Bg Cover Letter Creation: Writes a personalized and concise cover letter.
• 📥 PDF Export: Downloads the tailored resume and cover letter as professionally formatted PDF files.
• 💬 Interactive Chat: User-friendly chat interface for seamless interaction.

Prerequisites 🛠️

• Python 3.8+
• An OpenAI API Key

Installation 📥

1. Clone the repository:

   git clone https://github.com/YourUsername/AutoHire_AI.git
   cd AutoHire_AI
   pip install .
   

   Alternatively, you can install the dependencies directly:

   pip install -r requirements.txt
   

2. Set up Environment Variables:

   • Create a .env file in the root directory.
   • Add your OpenAI API Key:

     OPENAI_API_KEY=your_openai_api_key_here
     

   • (Optional) You can use .env.example as a template.

Usage 🚀

1. Run the application:

   chainlit run app.py -w
   

2. Access the UI:

   • The app will open in your default browser (usually at http://localhost:8000).

3. Follow the steps:

   • Upload Resume: Upload your existing resume (PDF format).
   • Provide JD: Paste the Job Description text or provide a URL to the job posting.
   • Wait for Magic: The AI will analyze, tailor, and generate your new documents.
   • Download: Download the generated tailored_resume.pdf and cover_letter.pdf.

Structure 📂

• app.py: Main application entry point containing the Chainlit logic.
• autohire/: Source code for agents and utilities (The Core Package).
  • autohire/core.py: Main entry point for programmatic usage.
  • autohire/agents.py: Logic for AI analysis and generation.
  • autohire/utils.py: Helper functions for text extraction and PDF generation.
  • autohire/__init__.py: Package initialization.
• output/: Directory where generated PDFs are saved.

Contributing 🤝

Contributions are welcome! Please feel free to submit a Pull Request.

License 📄

MIT