--- a
+++ b/README.md
@@ -0,0 +1,30 @@
+# Kidney Clinical Trial Eligibility Predictor
+
+This project utilizes a **Random Forest Classifier** to predict whether a person qualifies for clinical trials based on specific health parameters. The model is integrated into a **Streamlit web app** for easy input and real-time predictions.
+
+## Features
+- Machine learning-based classification system for clinical trial eligibility.
+- User-friendly interface built with **Streamlit**.
+- Trained using **Scikit-learn** with patient health data.
+- Achieves **98.75% accuracy** in eligibility prediction.
+- Model storage and retrieval optimized using **joblib**.
+
+## Installation
+```bash
+pip install -r requirements.txt
+```
+
+## Usage
+```bash
+streamlit run app.py
+```
+
+## Technologies Used
+- **Python**
+- **Streamlit**
+- **Scikit-learn**
+- **joblib**
+- **pandas**
+
+## License
+This project is licensed under the MIT License.