🧠 Job-Recommender-System

An AI-powered Resume Analyzer and Job Recommender System built using Flask, Google Gemini, and Apify. This application helps users:

• Analyze their resumes
• Identify missing skills or gaps
• Get a personalized career roadmap
• Find relevant job opportunities from LinkedIn and Naukri.com

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🚀 Features

• 📄 Resume Upload (PDF)
• 🧠 AI-Powered Resume Summary
• 🚧 Skill Gap & Improvement Analysis
• 🚤️ Career Roadmap Generation
• 🔎 Live Job Recommendations
• 🔐 Secure and Session-Based Workflow
• 🖥️ Clean and Simple Flask Frontend

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💠 Tech Stack

• Backend: Flask, Python
• AI Integration: Google Gemini (Gemini 1.5 Flash)
• Job Scraping: Apify actors for LinkedIn and Naukri
• PDF Parsing: PyMuPDF (fitz)
• Environment Management: python-dotenv
• Security: Flask session with SECRET_KEY

⚙️ Setup Instructions

1. Clone the Repository

git clone https://github.com/your-username/Job-Recommender-System.git
cd Job-Recommender-System

2. Install Dependencies

pip install -r requirements.txt

3. Set Up .env File

GOOGLE_API_KEY=your_google_api_key
APIFY_API_TOKEN=your_apify_token
SECRET_KEY=your_flask_secret_key

4. Run the App

python app.py

App will run at: http://127.0.0.1:5000/

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📄 File Structure

├── app.py                 # Flask application
├── templates/             # HTML templates
│   ├── index.html
│   ├── analysis.html
│   └── jobs.html
├── static/                # Static assets (CSS, JS)
├── requirements.txt
└── .env                   # Environment variables (not tracked)

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💡 Future Improvements

• Add user authentication
• Support DOCX resume formats
• Enhance UI with Bootstrap or Tailwind
• Store analysis history per user
• Integrate additional job portals (Indeed, Monster, etc.)

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🤝 Contributing

Pull requests are welcome! For major changes, please open an issue first to discuss what you would like to change.

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📜 License

MIT License