README.md

metadata

title: Dashboard
emoji: 🌍
colorFrom: pink
colorTo: blue
sdk: streamlit
sdk_version: 1.43.1
app_file: app.py
pinned: false

Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

Employee Performance & Retention Analytics Dashboard

Overview

The Employee Performance & Retention Analytics Dashboard is a Streamlit-based application that provides insights into employee attrition, performance, and retention risk. It features interactive visualizations, machine learning-based attrition predictions, and employee-specific evaluations to aid HR decision-making.

Features

• Attrition Prediction: Uses a RandomForest model to predict employee attrition likelihood.
• Performance Analysis: Visualizes key metrics such as performance ratings, salary, and tenure.
• Retention Analysis: Identifies retention risks based on job satisfaction, work-life balance, and promotion history.
• Employee Evaluation: Provides detailed performance insights and retention recommendations for individual employees.
• AI-Powered Insights: Generates department-specific insights based on filtered employee data.

Installation & Usage

# Install dependencies
pip install -r requirements.txt

# Run the Streamlit dashboard
streamlit run app.py

File Structure

├── app.py  # Streamlit UI for HR analytics
├── HR-Employee-Attrition.csv  # Employee dataset

Contribution

Feel free to contribute by submitting issues, pull requests, or feature suggestions!

License

This project is licensed under the MIT License.