https://github.com/kirtipratihar/job_detective_model
https://github.com/kirtipratihar/job_detective_model
Last synced: 8 months ago
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- Host: GitHub
- URL: https://github.com/kirtipratihar/job_detective_model
- Owner: KirtiPratihar
- License: mit
- Created: 2024-12-14T17:59:13.000Z (10 months ago)
- Default Branch: main
- Last Pushed: 2024-12-24T16:14:00.000Z (10 months ago)
- Last Synced: 2024-12-24T17:24:52.177Z (10 months ago)
- Size: 5.86 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Job_Detective_Model
JobDetective is a machine learning project designed to detect fake job postings. Using natural language processing (NLP) and classification models, this project helps identify fraudulent job advertisements and protect job seekers from scams.
## Features
- Preprocessing of job descriptions using NLP techniques
- Feature extraction with TF-IDF and metadata analysis
- Machine learning models for classification, including Logistic Regression, Random Forest, and SVM
- Performance evaluation using accuracy, precision, recall, and F1-score
## Dataset
We use the **Real or Fake Job Posting Prediction** dataset from Kaggle, which contains:
- **18,000 job postings**
- Labels indicating whether a posting is real or fake
[Download Dataset from Kaggle](https://www.kaggle.com/datasets/shivamb/real-or-fake-fake-jobposting-prediction)
## Project Structure
```
JobDetective/
├── data/
│ ├── train.csv
│ ├── test.csv
├── notebooks/
│ ├── EDA.ipynb # Exploratory Data Analysis
│ ├── Model_Building.ipynb
├── src/
│ ├── preprocess.py # Data preprocessing scripts
│ ├── feature_engineer.py # Feature extraction scripts
│ ├── train_model.py # Model training scripts
│ ├── evaluate.py # Model evaluation scripts
├── app/
│ ├── app.py # Deployment script using Flask
├── README.md
├── requirements.txt # Dependencies
├── .gitignore
```
## Requirements
To run the project, install the following dependencies:
```bash
pip install -r requirements.txt
```
Key libraries:
- `pandas`
- `numpy`
- `scikit-learn`
- `nltk`
- `flask`
## Usage
1. Clone the repository:
```bash
git clone https://github.com/KirtiPratihar/Job_Detective_Model.git
```
2. Navigate to the project directory:
```bash
cd JobDetective
```
3. Preprocess the data:
```bash
python src/preprocess.py
```
4. Train the model:
```bash
python src/train_model.py
```
5. Evaluate the model:
```bash
python src/evaluate.py
```
## Future Enhancements
- Integrate real-time job posting scraping
- Add advanced NLP techniques like BERT embeddings
- Deploy as a web app with user authentication
## Contribution
Contributions are welcome! Please fork the repository and submit a pull request.
## License
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
---
### Author
**[Kirti Pratihar](https://www.linkedin.com/in/kirti-pratihar-426072279)**