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Jivika - LinkedIn Job Application Assistant

An intelligent semi-automated LinkedIn job application assistant that helps you apply to relevant positions efficiently while maintaining quality and control.

Features

  • 🔍 Smart Job Search: Finds jobs matching your profile and criteria
  • 💰 Salary-Based Filtering: Only targets companies with budget matching your expected CTC
  • 🎯 Relevance Scoring: Ranks jobs by salary + skills match (best opportunities first)
  • 📝 Auto-Fill Forms: Pre-fills applications using your resume data
  • 👀 Human-in-the-Loop: You review and approve each application
  • 📊 Application Tracker: Logs all applications with status tracking
  • 🎯 Multi-Resume Support: Switch between role-specific resumes
  • 🌍 Multi-Currency Support: Handles USD, INR, EUR, GBP with automatic conversion
  • 🤖 MCP Browser Automation: Uses Cursor's browser MCP for reliable automation

Project Structure

jivika/
├── linkedin/           # LinkedIn automation scripts
│   ├── job_searcher.py    # Job search and filtering
│   ├── application_helper.py  # Form filling automation
│   ├── profile_manager.py     # Resume data management
│   └── tracker.py         # Application tracking
├── resumes/           # Your role-specific resumes
├── data/              # Application logs and tracking data
├── config.json        # Configuration and search criteria
└── main.py            # Main application entry point

Setup

  1. Install dependencies:

    pip install -r requirements.txt
  2. Configure your profile in config.json

  3. Add your resumes to the resumes/ folder

  4. Run the assistant:

    python main.py

Usage

The assistant will:

  1. Search for jobs matching your criteria
  2. Filter for Easy Apply positions (faster process)
  3. Extract job details and requirements
  4. Pre-fill application forms with your data
  5. Pause for your review before submission
  6. Log successful applications to the tracker

Configuration

Edit config.json to set:

  • Salary expectations: Your expected CTC range (filters jobs by budget)
  • Job titles and keywords: Roles and skills to match
  • Preferred locations: Cities or remote
  • Experience level: Years of experience (default: 5)
  • Active resume: Which profile to use for applications
  • Search filters: Remote, Easy Apply, salary thresholds, etc.

Salary-Based Filtering

Configure your expected CTC to only apply to jobs within your budget:

{
  "salary_expectations": {
    "currency": "USD",
    "expected_ctc_min": 120000,
    "expected_ctc_max": 180000,
    "strict_filtering": true,
    "exclude_below_expected_salary": true
  }
}

Features:

  • ✅ Filters out jobs below your minimum CTC
  • ✅ Converts currencies (INR ↔ USD, EUR ↔ USD, etc.)
  • ✅ Parses various salary formats ($120k, ₹25L, €60k)
  • ✅ Ranks jobs by relevance (salary + skills match)

See SALARY_FILTERING.md for detailed configuration guide.

Safety & Ethics

  • ✅ Human approval required for each application
  • ✅ Customizable application messages
  • ✅ Respects LinkedIn's rate limits
  • ✅ Uses human-like interaction timing
  • ⚠️ Not for mass spamming - quality over quantity

License

MIT License - Use responsibly and ethically.

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Applicant Tracking System (ATS) but for applicants.

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