# 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.