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https://github.com/aurelioo29/hr-assessment-tool
Repository web application to help HR departments assess employee performance and decide if they should stay or be considered for leave, based on performance metrics for data-driven decision-making.
https://github.com/aurelioo29/hr-assessment-tool
bootstrap css html javascript jupyter-notebook python
Last synced: 18 days ago
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Repository web application to help HR departments assess employee performance and decide if they should stay or be considered for leave, based on performance metrics for data-driven decision-making.
- Host: GitHub
- URL: https://github.com/aurelioo29/hr-assessment-tool
- Owner: aurelioo29
- Created: 2024-11-21T01:25:37.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-01-09T13:07:16.000Z (29 days ago)
- Last Synced: 2025-01-09T14:25:19.757Z (29 days ago)
- Topics: bootstrap, css, html, javascript, jupyter-notebook, python
- Language: HTML
- Homepage:
- Size: 539 KB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# ⚖️ HR Assessment Tool ⚖️
## 🌟 Overview
HR Assessment Tool is a web application designed to help HR departments assess employee performance and decide whether employees should stay with the company or be considered for leave, based on various performance metrics.
## 📂 Project Structure
### Files and Directories
- **app.py**: Main Flask application file for routing, form submissions, and predictions.
- **job_predict.sql**: SQL script for creating and populating the `job_data` table in the database.
- **model/final_model.pkl**: Trained machine learning model used for employee performance predictions.
- **static/assets/styling.css**: Custom CSS for styling the web application.
- **static/script.js**: JavaScript for form handling and result display.
- **templates/index.html**: HTML template for the user interface.
- **requirements.txt**: List of Python dependencies for the project.
## ⚙️ Setup and Installation
1. **Clone the repository**:
```sh
git clone https://github.com/aurelioo29/HR-Assessment-Tool.git
```
```sh
cd HR-Assessment-Tool
```
2. **Create a virtual environment**:
```sh
python -m venv env
```
- On macOS/Linux:
```sh
source env/bin/activate
```
- On Windows:
```sh
env\Scripts\activate
```
3. **Install the dependencies**:
```sh
pip install -r requirements.txt
```
4. **Set up the database**:
- Ensure MySQL is installed and running.
- Create a database named `job_predict`.
- Import `job_predict.sql` into the database.
5. **Run the Flask application**:
```sh
python app.py
```
6. **Access the application**:
Open your web browser and navigate to `http://127.0.0.1:5000`. 🌐
## 📝 Usage
1. Fill out the form with employee attributes. 🏥
2. Click the "**Prediksi**" button for the prediction. 🔮
3. The result will be shown along with the input data and classification report. 📊
## 📦 Dependencies
This project uses the following dependencies:
- Flask
- Flask-SQLAlchemy
- MySQL-connector-python
- PyMySQL
- scikit-learn
- numpy
- scipy
- joblib
## 🤝 Contributing
Contributions are welcome! Please fork the repository and submit a pull request. ✨