JobHunt 🚀

Next-gen open-source, AI-powered agent for ethical, personalized, and effective job applications across multiple platforms. Combines smart job matching, ATS resume tailoring, and user learning.

🎯 Project Vision

JobHunt aims to revolutionize the job search process by leveraging artificial intelligence to make job hunting more efficient, personalized, and ethical. We believe that finding the right job should be accessible to everyone, and that technology should empower job seekers while respecting their privacy and promoting fair employment practices.

Our vision is to create an intelligent assistant that:

• Understands your unique skills, experiences, and career goals
• Matches you with opportunities that truly align with your aspirations
• Optimizes your application materials for maximum impact
• Learns from your feedback to continuously improve recommendations
• Respects ethical boundaries and promotes authentic representation

✨ Key Features & Value Propositions

🤖 AI-Powered Job Matching

• Intelligent algorithms analyze your profile against job requirements
• Semantic understanding goes beyond keyword matching
• Personalized job recommendations based on your career trajectory

📝 ATS Resume Tailoring

• Automatic resume optimization for Applicant Tracking Systems
• Context-aware customization for each job application
• Maintains authenticity while highlighting relevant skills

📊 Multi-Platform Support

• Seamless integration with major job boards (LinkedIn, Indeed, Glassdoor, etc.)
• Unified dashboard for managing applications across platforms
• Automated application tracking and follow-up reminders

🧠 Continuous Learning

• Machine learning models improve with user feedback
• Adapts to your preferences and application outcomes
• Learns from successful applications to refine future recommendations

🛡️ Privacy & Ethics First

• Your data stays yours - complete transparency and control
• No misleading information or fake credentials
• Promotes genuine matches between candidates and employers

📦 Installation

Prerequisites

• Python 3.9 or higher
• pip package manager
• Git
• API keys for supported platforms (OpenAI, job boards, etc.)

Step-by-Step Installation

1. Clone the Repository

git clone https://github.com/Anand0295/jobhunt.git
cd jobhunt

2. Create Virtual Environment

python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

3. Install Dependencies

pip install -r requirements.txt

4. Configure Environment

cp config.example.yml config.yml
# Edit config.yml with your API keys and preferences

5. Initialize Database

python -m utils.database_setup

6. Run Initial Setup

python setup.py

🚀 Usage

Quick Start

# Start the JobHunt agent
python main.py

# Or use the CLI interface
python cli.py --help

Basic Commands

# Search for jobs
python cli.py search --keywords "software engineer" --location "San Francisco"

# Apply to a specific job
python cli.py apply --job-id 12345

# Generate tailored resume
python cli.py tailor-resume --job-id 12345 --output resume_tailored.pdf

# Track applications
python cli.py track

# Update your profile
python cli.py profile update

Advanced Usage

from agents.job_matcher import JobMatcherAgent
from agents.resume_tailor import ResumeTailorAgent

# Initialize agents
matcher = JobMatcherAgent(config_path="config.yml")
tailor = ResumeTailorAgent(config_path="config.yml")

# Find matching jobs
matches = matcher.find_matches(
    skills=["Python", "Machine Learning", "AWS"],
    experience_years=5,
    preferred_locations=["Remote", "San Francisco"]
)

# Tailor resume for best match
for job in matches[:5]:
    tailored = tailor.customize_resume(
        job_description=job.description,
        base_resume="path/to/resume.pdf"
    )
    tailored.save(f"resume_{job.id}.pdf")

🔄 Workflow

1. Profile Setup

• User provides profile information (skills, experience, preferences)
• System creates comprehensive candidate profile
• Profile is stored securely with encryption

2. Job Discovery

• Agents continuously scan multiple job platforms
• Machine learning models analyze job postings
• Jobs are scored based on match quality with your profile

3. Smart Matching

• Semantic analysis of job requirements vs. your skills
• Historical data analysis to predict job fit
• Personalized ranking based on your career goals

4. Application Preparation

• Resume tailoring agent customizes your resume for each job
• Cover letter generation (optional)
• ATS optimization ensures your application passes screening

5. Submission & Tracking

• Automated or semi-automated application submission
• Application status tracking across all platforms
• Follow-up reminders and interview preparation

6. Feedback Loop

• User provides feedback on recommendations
• System learns from successful/unsuccessful applications
• Models continuously improve over time

📁 Project Structure

jobhunt/
├── agents/                      # AI agents for different tasks
│   ├── __init__.py
│   ├── job_matcher.py          # Job matching and recommendation
│   ├── resume_tailor.py        # Resume customization
│   ├── application_tracker.py  # Application status tracking
│   ├── platform_integrator.py  # Job platform integrations
│   └── status_tracker.py       # Status monitoring
│
├── utils/                       # Utility functions and helpers
│   ├── __init__.py
│   ├── config_loader.py        # Configuration management
│   ├── database.py             # Database operations
│   ├── logger.py               # Logging utilities
│   ├── api_client.py           # API client wrappers
│   └── document_processor.py   # Resume/CV processing
│
├── docs/                        # Documentation
│   ├── API.md                  # API documentation
│   ├── ARCHITECTURE.md         # System architecture
│   ├── CONTRIBUTING.md         # Contribution guidelines
│   └── USER_GUIDE.md           # Detailed user guide
│
├── tests/                       # Test suite
│   ├── unit/                   # Unit tests
│   ├── integration/            # Integration tests
│   └── fixtures/               # Test fixtures
│
├── data/                        # Data directory (gitignored)
│   ├── resumes/                # User resumes
│   ├── applications/           # Application records
│   └── models/                 # ML models
│
├── config.example.yml           # Example configuration file
├── requirements.txt             # Python dependencies
├── README.md                    # This file
├── main.py                      # Main application entry point
├── cli.py                       # CLI interface
└── setup.py                     # Setup script

🤝 Contributing

We welcome contributions from the community! JobHunt is built on the principle of collaborative development.

How to Contribute

1. Fork the Repository

   • Click the "Fork" button at the top right of this page

2. Create a Feature Branch

   git checkout -b feature/amazing-feature

3. Make Your Changes

   • Write clean, documented code
   • Follow PEP 8 style guidelines
   • Add tests for new features

4. Commit Your Changes

   git commit -m "Add amazing feature"

5. Push to Your Fork

   git push origin feature/amazing-feature

6. Open a Pull Request

   • Provide a clear description of your changes
   • Reference any related issues

Development Guidelines

• Code Style: Follow PEP 8 and use Black for formatting
• Testing: Maintain 80%+ code coverage
• Documentation: Update docs for any API changes
• Commits: Use conventional commit messages
• Reviews: All PRs require at least one review

Areas for Contribution

• 🐛 Bug fixes
• ✨ New features
• 📝 Documentation improvements
• 🧪 Test coverage
• 🌐 Platform integrations
• 🎨 UI/UX enhancements
• 🔒 Security improvements

🗺️ Roadmap

Phase 1: Foundation (Current)

• Core agent architecture
• Basic job matching algorithm
• Resume parsing and tailoring
• LinkedIn integration
• Indeed integration
• Basic CLI interface

Phase 2: Enhancement (Q1 2026)

• Web dashboard UI
• Advanced ML models for matching
• Multi-platform application tracking
• Email notification system
• Cover letter generation
• Interview preparation assistant

Phase 3: Scaling (Q2-Q3 2026)

• Mobile app (iOS/Android)
• Real-time job alerts
• Collaborative filtering for recommendations
• Salary negotiation assistant
• Career path visualization
• Integration with 10+ job platforms

Phase 4: Intelligence (Q4 2026)

• Advanced NLP for job description analysis
• Predictive analytics for job success
• Automated interview scheduling
• Video interview preparation with AI feedback
• Network analysis and connection recommendations
• Market trend analysis and insights

Future Vision

• 🌍 Global job market support
• 🤖 Advanced conversational AI assistant
• 🎓 Skill gap analysis and learning recommendations
• 🔗 Professional network building
• 📈 Career trajectory optimization

📄 License

This project is licensed under the MIT License - see the LICENSE file for details.

🙏 Acknowledgments

• OpenAI for GPT models
• The open-source community
• All contributors and supporters

📞 Contact & Support

• Issues: GitHub Issues
• Discussions: GitHub Discussions
• Email: [email protected]

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Made with ❤️ by the JobHunt community

Empowering job seekers, one application at a time.