🚀 Fake Job Detection System

A system to detect fraudulent job postings using Natural Language Processing (NLP) techniques and machine learning models.

✨ Features:

• 🔍 Fake Job Prediction using ML models.
• 🛠️ Flask API for backend support.
• 🎨 Simple HTML/CSS frontend for interaction.
• 📊 Detailed analytics dashboard.
• 🔔 Real-time notifications for suspicious postings.

💼 Use Cases:

1. ✅ Verify job authenticity.
2. 🌟 Improve recruitment platform credibility.
3. 📊 Analyze fraudulent job patterns.
4. 🔍 Monitor job postings in real-time.

🛠️ Setup Instructions:

1. 📥 Clone the repository.
2. 📦 Install dependencies using pip install -r requirements.txt.
3. ▶️ Run python app.py to start the server.

📂 Project Structure:

• app.py: Flask backend.
• templates/index.html: Frontend.
• data/: Sample datasets for training and testing.
• 'main.ipynb`: Jupyter notebook for data analysis and model training.

🚀 Future Enhancements:

• 🌐 Deployment on platforms like Heroku or AWS.
• 🧠 Enhanced model using advanced NLP techniques.
• 📱 Mobile app integration for on-the-go monitoring.
• 🛡️ Improved security features to prevent data breaches.