🚀 AI-Powered Job Search with Visa Sponsorship Priority

An intelligent job search automation system that extracts skills from your CV and finds visa sponsorship opportunities tailored to your background.

🌟 Features

• 🎯 CV-Driven Skill Extraction: Automatically extracts skills from your resume's skills section
• 🌍 Visa Sponsorship Priority: Prioritizes jobs that explicitly mention visa sponsorship
• 🔍 Smart Job Matching: Scores jobs based on skill relevance and visa potential
• 📊 Comprehensive Reports: Generates detailed Excel reports with job details and application links
• 🛠️ User-Friendly Setup: Interactive prompts for easy configuration
• 🌐 Global Coverage: Searches across sponsor-friendly countries (US, Canada, Germany, etc.)

📋 Prerequisites

• Python 3.7+
• SerpAPI account (free tier available)
• CV in PDF format

🚀 Installation

1. Clone or download the script

   git clone <repository-url>
   cd job-search-system

2. Install required packages

   pip install requests pandas pdfplumber openpyxl

3. Get your SerpAPI key

   • Visit SerpAPI.com
   • Sign up for a free account
   • Navigate to your dashboard to get your API key
   • Free tier includes 100 searches/month

📖 Usage

Step 1: Run the Script

python job_search.py

Step 2: Interactive Setup

The system will guide you through:

1. API Configuration

   Enter your SerpAPI key: your_api_key_here
   

2. CV File Path

   Enter the path to your CV PDF file: /path/to/your/cv.pdf
   

3. Skills Section Identification

   Enter the name of your skills section (default: 'Skills'): Skills
   

4. Skill Validation

   • Review extracted skills
   • Add/remove skills if needed
   • Confirm final skills list

5. Search Preferences Choose your priority:

   • Visa sponsorship opportunities (default)
   • Specific countries/regions
   • Remote work opportunities
   • Focus on specific skills

Step 3: Results

The system will:

• Search for relevant jobs using your skills
• Score jobs based on your preferences
• Generate a comprehensive Excel report
• Display top matches in the terminal

📊 Output Format

The generated Excel file includes:

Column	Description
Relevance Score	Job relevance score (higher = better match)
Score Reasons	Why the job scored well (skill matches, visa mentions)
Job Title	Position title
Company	Company name
Location	Job location
Salary	Salary range (if available)
Posting Date	When the job was posted
Job Description	Brief job description
Application Link	Direct application URL
Visa Sponsorship Mentioned	Yes/Maybe/Unknown
Company Glassdoor	Glassdoor company review link

🎯 How It Works

1. Skills Extraction

Skills
• Programming Languages: JavaScript, Java, Go, C#, Node.js
• Database: PostgreSQL, MongoDB, MySQL
• DevOps & Tools: Docker, AWS, Git

↓ Extracts to: JavaScript, Java, Go, C#, Node.js, PostgreSQL, MongoDB, MySQL, Docker, AWS, Git

2. Intelligent Search Queries

• Basic skill searches: "JavaScript", "PostgreSQL"
• Visa-focused searches: "JavaScript visa sponsorship", "Java h1b sponsor"
• Location-specific: "software developer Canada"

3. Smart Scoring System

• Skill Matches: +10 points per matching skill
• Explicit Visa Sponsorship: +100 points
• Sponsor-Friendly Location: +50 points
• Target Country: +75 points
• Remote Work: +30 points

🔧 Customization

Modify Search Preferences

Edit the preferences section in the script:

preferences = {
    "visa_priority": True,
    "target_countries": ["canada", "germany"],
    "remote_only": False,
    "skill_focus": ["python", "react"]
}

Add Custom Visa Keywords

Update the VISA_KEYWORDS list:

VISA_KEYWORDS = [
    "visa sponsorship", "h1b", "work visa",
    "your custom keywords here"
]

Extend Sponsor-Friendly Countries

Add to SPONSOR_FRIENDLY_LOCATIONS:

SPONSOR_FRIENDLY_LOCATIONS = [
    "united states", "canada", "germany",
    "your target countries here"
]

🔍 Example CV Skills Section

The system works best with clearly structured skills sections:

Skills
• Programming Languages: JavaScript, Python, Java, TypeScript
• Frontend: React, Vue.js, HTML5, CSS3, Bootstrap
• Backend: Node.js, Express.js, Django, Flask
• Databases: PostgreSQL, MongoDB, Redis, MySQL
• Cloud & DevOps: AWS, Docker, Kubernetes, Git, Jenkins
• Tools: VS Code, Postman, Jira, Slack

🚨 Troubleshooting

Common Issues

❌ "CV file not found"

• Ensure the file path is correct
• Use forward slashes (/) or escape backslashes (