Jobs_Applier_AI_Agent_AIHawk  by feder-cr

AI agent for automating job applications

created 1 year ago
28,501 stars

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Project Summary

AIHawk is an open-source AI agent designed to automate and personalize the job application process for job seekers. It aims to streamline the often time-consuming and repetitive task of applying to multiple jobs, providing users with a competitive edge in the job market.

How It Works

AIHawk leverages Large Language Models (LLMs) to tailor applications. Users configure their personal details, education, experience, and work preferences in YAML files. The agent then uses this information to generate personalized content for job applications, potentially including resume and cover letter generation. It supports various LLM providers like OpenAI, Ollama, Anthropic (Claude), and Google Gemini, allowing flexibility in model choice and deployment (local or cloud-based).

Quick Start & Requirements

  • Install: Clone the repository, create a Python virtual environment, activate it, and run pip install -r requirements.txt.
  • Prerequisites: Python 3.10+, Google Chrome, C++ build tools (for Windows).
  • Configuration: Requires secrets.yaml with LLM API keys and plain_text_resume.yaml with user profile data.
  • Documentation: Ollama Setup, YAML Editing Guide.

Highlighted Details

  • Supports multiple LLM backends (OpenAI, Ollama, Claude, Gemini).
  • Detailed YAML configuration for comprehensive user profile and preferences.
  • Includes troubleshooting guides for common issues like API rate limits and configuration errors.
  • Past LinkedIn automation efforts were ceased due to platform requests; focus is now on a new AI-driven job board.

Maintenance & Community

  • Project is maintained by open-source contributors, with the original creator focusing on a proprietary product.
  • Community support available via a Telegram group.
  • Contributions are welcomed via pull requests targeting the release branch.

Licensing & Compatibility

  • Licensed under AGPL. Documentation is CC BY.
  • AGPL requires derivative works to be open-sourced under the same license, potentially impacting commercial use or closed-source integration.

Limitations & Caveats

  • Previous LinkedIn automation was removed due to platform enforcement.
  • OpenAI API usage may be subject to rate limits and requires paid credits, with potential initial free tier limitations.
  • Users must ensure compliance with platform terms of service and legal guidelines when using automated tools.
Health Check
Last commit

2 months ago

Responsiveness

1 week

Pull Requests (30d)
0
Issues (30d)
1
Star History
720 stars in the last 90 days

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