Update README.md

README.md

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